Machine Learning · Computer Science
PAC-Bayesian Inequalities for Martingales
Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor +1
2012-07-31
Machine Learning · Statistics
PAC-Bayesian Theory Meets Bayesian Inference
Pascal Germain, Francis Bach, Alexandre Lacoste, Simon Lacoste-Julien
2017-02-14
Machine Learning · Computer Science
A PAC-Bayes Analysis of Adversarial Robustness
Paul Viallard, Guillaume Vidot, Amaury Habrard, Emilie Morvant
2021-10-28
Machine Learning · Statistics
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli
2025-02-11
Machine Learning · Statistics
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant +1
2024-02-22
Machine Learning · Computer Science
Improved PAC-Bayesian Bounds for Linear Regression
Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihaly Petreczky
2019-12-09
Statistics Theory · Mathematics
Dimension-free PAC-Bayesian bounds for matrices, vectors, and linear least squares regression
Olivier Catoni, Ilaria Giulini
2018-01-03
Machine Learning · Statistics
A General Framework for the Practical Disintegration of PAC-Bayesian Bounds
Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
2023-09-19
Machine Learning · Statistics
On the Generalization of the C-Bound to Structured Output Ensemble Methods
François Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy
2015-06-16
Machine Learning · Computer Science
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits
Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters +1
2011-05-20