Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation

14 April 2023

Papers citing "Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation"

4 / 4 papers shown

Title
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales Maxime Haddouche Benjamin Guedj 40 20 0 03 Oct 2022
Learning PAC-Bayes Priors for Probabilistic Neural Networks Maria Perez-Ortiz Omar Rivasplata Benjamin Guedj M. Gleeson Jingyu Zhang John Shawe-Taylor M. Bober J. Kittler UQCV 49 31 0 21 Sep 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