Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes

20 August 2019

Papers citing "Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes"

12 / 12 papers shown

Title
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 62 1 0 08 Nov 2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective Yuxin Dong Tieliang Gong Hao Chen Chen Li 23 4 0 02 May 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 62 9 0 23 Feb 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples Ziqiao Wang Yongyi Mao 34 17 0 05 Feb 2023
Integral Probability Metrics PAC-Bayes Bounds Ron Amit Baruch Epstein Shay Moran Ron Meir 32 18 0 01 Jul 2022
Anticorrelated Noise Injection for Improved Generalization Antonio Orvieto Hans Kersting F. Proske Francis R. Bach Aurelien Lucchi 78 44 0 06 Feb 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 64 199 0 21 Oct 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes Peter Grünwald Thomas Steinke Lydia Zakynthinou 30 29 0 17 Jun 2021
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning Yiding Jiang Pierre Foret Scott Yak Daniel M. Roy H. Mobahi Gintare Karolina Dziugaite Samy Bengio Suriya Gunasekar Isabelle M Guyon Behnam Neyshabur Google Research OOD 24 55 0 14 Dec 2020
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 84 72 0 23 Oct 2016
Learning without Concentration S. Mendelson 92 333 0 01 Jan 2014
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 164 455 0 03 Dec 2007