Learning PAC-Bayes Priors for Probabilistic Neural Networks

21 September 2021

Papers citing "Learning PAC-Bayes Priors for Probabilistic Neural Networks"

9 / 9 papers shown

Title
On Certified Generalization in Structured Prediction Bastian Boll Christoph Schnörr 21 0 0 15 Jun 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty Felix Biggs Benjamin Guedj 24 7 0 20 Oct 2022
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 31 4 0 06 Sep 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 18 21 0 31 May 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 47 17 0 23 Feb 2022
On change of measure inequalities for $f$ -divergences Antoine Picard-Weibel Benjamin Guedj 25 13 0 11 Feb 2022
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning Wei Huang Chunrui Liu Yilan Chen Tianyu Liu R. Xu BDL MLT 19 2 0 04 Feb 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs Benjamin Guedj BDL 30 26 0 03 Feb 2022
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 148 454 0 03 Dec 2007