Statistics Theory · Mathematics
Structure-Blind Signal Recovery
Dmitry Ostrovsky, Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski
2017-06-05
Information Theory · Computer Science
Compressive Estimation of a Stochastic Process with Unknown Autocorrelation Function
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire, Gerhard Wunder
2017-05-10
Applications · Statistics
Bayesian Estimation of Gaussian Graphical Models with Predictive Covariance Selection
Donald R. Williams, Juho Piironen, Aki Vehtari, Philippe Rast
2018-08-07
Information Theory · Computer Science
A Blind Time-Reversal Detector in the Presence of Channel Correlation
Zhong Zheng, Lu Wei, Jyri Hämäläinen, Olav Tirkkonen
2015-06-12
Machine Learning · Computer Science
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia +1
2024-03-18
Cosmology and Nongalactic Astrophysics · Physics
Cosmological Parameter Estimation and Inference using Deep Summaries
Janis Fluri, Aurelien Lucchi, Tomasz Kacprzak, Alexandre Refregier +1
2021-12-15
Machine Learning · Computer Science
Variable selection for Gaussian process regression through a sparse projection
Chiwoo Park, David J. Borth, Nicholas S. Wilson, Chad N. Hunter
2020-08-26
Statistics Theory · Mathematics
Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process
Wenjia Wang, Xiaowei Yue, Benjamin Haaland, C. F. Jeff Wu
2021-03-02
Machine Learning · Statistics
Linearly constrained Gaussian processes
Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön
2017-09-20
Quantum Physics · Physics
Self-Consistent Projection Operator Theory in Nonlinear Quantum Optical Systems: A case study on Degenerate Optical Parametric Oscillators
Peter Degenfeld-Schonburg, Carlos Navarrete-Benlloch, Michael J. Hartmann
2015-06-03
Machine Learning · Statistics
Probabilistic structure discovery in time series data
David Janz, Brooks Paige, Tom Rainforth, Jan-Willem van de Meent +1
2016-11-22
Systems and Control · Electrical Eng. & Systems
Convergence and Accuracy Analysis for A Distributed Static State Estimator based on Gaussian Belief Propagation
Damián Marelli, Tianju Sui, Minyue Fu, Ximing Sun
2020-04-07
Machine Learning · Computer Science
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust
Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy +1
2024-09-11
Cosmology and Nongalactic Astrophysics · Physics
Building Unbiased Estimators from Non-Gaussian Likelihoods with Application to Shear Estimation
Mathew S. Madhavacheril, Patrick McDonald, Neelima Sehgal, Anže Slosar
2015-06-22
Numerical Analysis · Mathematics
Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems
Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo
2025-03-19