Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks

22 June 2020

Papers citing "Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks"

10 / 10 papers shown

Title
Global Convergence Rate of Deep Equilibrium Models with General Activations Lan V. Truong 39 2 0 11 Feb 2023
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 26 4 0 06 Sep 2022
On Rademacher Complexity-based Generalization Bounds for Deep Learning Lan V. Truong MLT 37 13 0 08 Aug 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
Generalization Error Bounds on Deep Learning with Markov Datasets Lan V. Truong 21 8 0 23 Dec 2021
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations Louis Fortier-Dubois Gaël Letarte Benjamin Leblanc Franccois Laviolette Pascal Germain UQCV 17 0 0 28 Oct 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 54 196 0 21 Oct 2021
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 148 453 0 03 Dec 2007