PAC-Bayes Un-Expected Bernstein Inequality

31 May 2019

Papers citing "PAC-Bayes Un-Expected Bernstein Inequality"

38 / 38 papers shown

Title
Secrets of GFlowNets' Learning Behavior: A Theoretical Study Tianshu Yu 14 0 0 04 May 2025
How good is PAC-Bayes at explaining generalisation? Antoine Picard-Weibel Eugenio Clerico Roman Moscoviz Benjamin Guedj 59 0 0 11 Mar 2025
Learning via Surrogate PAC-Bayes Antoine Picard-Weibel Roman Moscoviz Benjamin Guedj 23 0 0 14 Oct 2024
Empirical Bernstein in smooth Banach spaces Diego Martinez-Taboada Aaditya Ramdas 24 5 0 09 Sep 2024
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss Yi-Shan Wu Yijie Zhang Badr-Eddine Chérief-Abdellatif Yevgeny Seldin 26 1 0 23 May 2024
Probabilistic Generating Circuits -- Demystified Sanyam Agarwal Markus Bläser TPM 14 2 0 04 Mar 2024
Better-than-KL PAC-Bayes Bounds Ilja Kuzborskij Kwang-Sung Jun Yulian Wu Kyoungseok Jang Francesco Orabona FedML 22 2 0 14 Feb 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima Maxime Haddouche Paul Viallard Umut Simsekli Benjamin Guedj 35 3 0 13 Feb 2024
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds Ziqiao Wang Yongyi Mao 22 5 0 31 Oct 2023
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 22 3 0 17 Oct 2023
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression Tin Sum Cheng Aurélien Lucchi Ivan Dokmanić Anastasis Kratsios David Belius 26 4 0 02 Oct 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 26 9 0 21 Jun 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 30 12 0 07 Jun 2023
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis Gábor Lugosi Gergely Neu 15 11 0 31 May 2023
Exponential Stochastic Inequality Peter Grünwald M. F. Pérez-Ortiz Zakaria Mhammedi 21 1 0 27 Apr 2023
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation Maxime Haddouche Benjamin Guedj 25 0 0 14 Apr 2023
Tighter PAC-Bayes Bounds Through Coin-Betting Kyoungseok Jang Kwang-Sung Jun Ilja Kuzborskij Francesco Orabona 16 15 0 12 Feb 2023
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 20 6 0 02 Nov 2022
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty Felix Biggs Benjamin Guedj 18 7 0 20 Oct 2022
A New Family of Generalization Bounds Using Samplewise Evaluated CMI Fredrik Hellström G. Durisi 22 22 0 12 Oct 2022
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales Maxime Haddouche Benjamin Guedj 43 20 0 03 Oct 2022
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables Yi-Shan Wu Yevgeny Seldin 11 12 0 01 Jun 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 16 21 0 31 May 2022
Fast Rate Generalization Error Bounds: Variations on a Theme Xuetong Wu J. Manton U. Aickelin Jingge Zhu 16 7 0 06 May 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
Minimax risk classifiers with 0-1 loss Santiago Mazuelas Mauricio Romero Peter Grünwald 15 6 0 17 Jan 2022
Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio Francesco Orabona Kwang-Sung Jun 44 38 0 27 Oct 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 34 196 0 21 Oct 2021
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi Paul Viallard Emilie Morvant Rémi Emonet Amaury Habrard Pascal Germain Benjamin Guedj FedML BDL 17 16 0 23 Jun 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes Peter Grünwald Thomas Steinke Lydia Zakynthinou 13 29 0 17 Jun 2021
Upper and Lower Bounds on the Performance of Kernel PCA Maxime Haddouche Benjamin Guedj John Shawe-Taylor 11 4 0 18 Dec 2020
Risk-Monotonicity in Statistical Learning Zakaria Mhammedi 22 7 0 28 Nov 2020
PAC-Bayesian Bound for the Conditional Value at Risk Zakaria Mhammedi Benjamin Guedj Robert C. Williamson 6 21 0 26 Jun 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 12 80 0 23 Jun 2020
PAC-Bayes unleashed: generalisation bounds with unbounded losses Maxime Haddouche Benjamin Guedj Omar Rivasplata John Shawe-Taylor 11 54 0 12 Jun 2020
Efron-Stein PAC-Bayesian Inequalities Ilja Kuzborskij Csaba Szepesvári 14 22 0 04 Sep 2019
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 135 453 0 03 Dec 2007