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PAC-Bayes under potentially heavy tails

20 May 2019

Papers citing "PAC-Bayes under potentially heavy tails"

25 / 25 papers shown

Title
Generalization and Robustness of the Tilted Empirical Risk Gholamali Aminian Amir R. Asadi Tian Li Ahmad Beirami Gesine Reinert Samuel N. Cohen 71 0 0 28 Sep 2024
A note on generalization bounds for losses with finite moments Borja Rodríguez Gálvez Omar Rivasplata Ragnar Thobaben Mikael Skoglund 63 0 0 25 Mar 2024
PAC-Bayes-Chernoff bounds for unbounded losses Ioar Casado Luis A. Ortega A. Masegosa Aritz Pérez Martínez 113 6 0 02 Jan 2024
Non-Vacuous Generalization Bounds for Large Language Models Sanae Lotfi Marc Finzi Yilun Kuang Tim G. J. Rudner Micah Goldblum Andrew Gordon Wilson 108 25 0 28 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 154 9 0 21 Jun 2023
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation Maxime Haddouche Benjamin Guedj 88 2 0 14 Apr 2023
Mixed moving average field guided learning for spatio-temporal data I. Curato O. Furat Lorenzo Proietti Bennet Stroeh AI4TS 108 2 0 02 Jan 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 122 10 0 14 Nov 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds Itai Gat Yossi Adi Alex Schwing Tamir Hazan BDL 97 6 0 12 Oct 2022
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales Maxime Haddouche Benjamin Guedj 123 22 0 03 Oct 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 107 22 0 31 May 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 109 19 0 23 Feb 2022
On change of measure inequalities for $f$ -divergences Antoine Picard-Weibel Benjamin Guedj 76 13 0 11 Feb 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 193 206 0 21 Oct 2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 56 14 0 07 Feb 2021
Upper and Lower Bounds on the Performance of Kernel PCA Maxime Haddouche Benjamin Guedj John Shawe-Taylor 120 4 0 18 Dec 2020
Non-exponentially weighted aggregation: regret bounds for unbounded loss functions Pierre Alquier 105 19 0 07 Sep 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 123 80 0 23 Jun 2020
PAC-Bayes unleashed: generalisation bounds with unbounded losses Maxime Haddouche Benjamin Guedj Omar Rivasplata John Shawe-Taylor 100 56 0 12 Jun 2020
Learning with CVaR-based feedback under potentially heavy tails Matthew J. Holland El Mehdi Haress 44 4 0 03 Jun 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 139 16 0 01 Jun 2020
Still no free lunches: the price to pay for tighter PAC-Bayes bounds Benjamin Guedj L. Pujol FedML 83 23 0 10 Oct 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 186 75 0 29 Sep 2019
Efron-Stein PAC-Bayesian Inequalities Ilja Kuzborskij Csaba Szepesvári 86 22 0 04 Sep 2019
Distribution-robust mean estimation via smoothed random perturbations Matthew J. Holland OOD 59 5 0 25 Jun 2019