Learning via Wasserstein-Based High Probability Generalisation Bounds

Learning via Wasserstein-Based High Probability Generalisation Bounds

7 June 2023

Maxime Haddouche

Papers citing "Learning via Wasserstein-Based High Probability Generalisation Bounds"

14 / 14 papers shown

Title
How good is PAC-Bayes at explaining generalisation? Antoine Picard-Weibel Eugenio Clerico Roman Moscoviz Benjamin Guedj 55 0 0 11 Mar 2025
Stability-based Generalization Bounds for Variational Inference Yadi Wei R. Khardon BDL 44 0 0 17 Feb 2025
The Generalization Error of Machine Learning Algorithms S. Perlaza Xinying Zou 64 5 0 18 Nov 2024
Learning via Surrogate PAC-Bayes Antoine Picard-Weibel Roman Moscoviz Benjamin Guedj 16 0 0 14 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 22 0 0 10 Oct 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima Maxime Haddouche Paul Viallard Umut Simsekli Benjamin Guedj 30 3 0 13 Feb 2024
Tighter Generalisation Bounds via Interpolation Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 11 3 0 07 Feb 2024
A note on regularised NTK dynamics with an application to PAC-Bayesian training Eugenio Clerico Benjamin Guedj 33 0 0 20 Dec 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 15 9 0 21 Jun 2023
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales Maxime Haddouche Benjamin Guedj 40 20 0 03 Oct 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 43 17 0 23 Feb 2022
No-Regret Reinforcement Learning with Heavy-Tailed Rewards Vincent Zhuang Yanan Sui 58 11 0 25 Feb 2021
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 79 72 0 23 Oct 2016
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 135 451 0 03 Dec 2007