User-friendly introduction to PAC-Bayes bounds

21 October 2021

Papers citing "User-friendly introduction to PAC-Bayes bounds"

40 / 40 papers shown

Title
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders Xuwei Yang Fatemeh Tavakoli D. B. Emerson Anastasis Kratsios FedML 62 0 0 30 Apr 2025
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Milad Sefidgaran Abdellatif Zaidi Piotr Krasnowski 44 0 0 25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Milad Sefidgaran A. Zaidi Piotr Krasnowski 80 1 0 21 Feb 2025
Model Diffusion for Certifiable Few-shot Transfer Learning Fady Rezk Royson Lee H. Gouk Timothy M. Hospedales Minyoung Kim 45 0 0 10 Feb 2025
Identifying Information from Observations with Uncertainty and Novelty D. Prijatelj Timothy J. Ireland Walter J. Scheirer 50 0 0 16 Jan 2025
Bayesian Experimental Design via Contrastive Diffusions Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 26 0 0 15 Oct 2024
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Zeyu Gan Yong Liu SyDa 39 1 0 02 Oct 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy V. Deshmukh 57 13 0 31 Aug 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 26 4 0 19 Jul 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning Lior Friedman Ron Meir 65 0 0 13 Jun 2024
Posterior and variational inference for deep neural networks with heavy-tailed weights Ismael Castillo Paul Egels BDL 55 3 0 05 Jun 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets Benjamin Dupuis Paul Viallard George Deligiannidis Umut Simsekli 35 2 0 26 Apr 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima Maxime Haddouche Paul Viallard Umut Simsekli Benjamin Guedj 30 3 0 13 Feb 2024
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD Benjamin Dupuis Paul Viallard 18 3 0 01 Dec 2023
Time-Uniform Confidence Spheres for Means of Random Vectors Ben Chugg Hongjian Wang Aaditya Ramdas 40 5 0 14 Nov 2023
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 53 1 0 08 Nov 2023
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits Nicklas Werge Abdullah Akgul M. Kandemir 19 0 0 07 Jul 2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 15 9 0 21 Jun 2023
On Certified Generalization in Structured Prediction Bastian Boll Christoph Schnörr 13 0 0 15 Jun 2023
PAC-Bayes Bounds for High-Dimensional Multi-Index Models with Unknown Active Dimension Maximilian F. Steffen 8 1 0 23 Mar 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 28 8 0 23 Feb 2023
Mixed moving average field guided learning for spatio-temporal data I. Curato O. Furat Lorenzo Proietti Bennet Stroeh AI4TS 21 2 0 02 Jan 2023
Generalization Analysis on Learning with a Concurrent Verifier Masaaki Nishino Kengo Nakamura Norihito Yasuda 16 1 0 11 Oct 2022
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 23 4 0 06 Sep 2022
Integral Probability Metrics PAC-Bayes Bounds Ron Amit Baruch Epstein Shay Moran Ron Meir 14 18 0 01 Jul 2022
A General framework for PAC-Bayes Bounds for Meta-Learning A. Rezazadeh AI4CE 11 4 0 11 Jun 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 10 21 0 31 May 2022
A PAC-Bayes oracle inequality for sparse neural networks Maximilian F. Steffen Mathias Trabs UQCV 17 2 0 26 Apr 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 45 55 0 23 Feb 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
Cutting feedback and modularized analyses in generalized Bayesian inference David T. Frazier David J. Nott 6 7 0 21 Feb 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs Benjamin Guedj BDL 22 26 0 03 Feb 2022
Weight Expansion: A New Perspective on Dropout and Generalization Gao Jin Xinping Yi Pengfei Yang Lijun Zhang S. Schewe Xiaowei Huang 20 5 0 23 Jan 2022
New bounds for $k$ -means and information $k$ -means Gautier Appert O. Catoni 14 5 0 14 Jan 2021
On the Difficulty of Unbiased Alpha Divergence Minimization Tomas Geffner Justin Domke 44 18 0 19 Oct 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 105 146 0 06 Nov 2019
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 79 72 0 23 Oct 2016
PAC-Bayesian Estimation and Prediction in Sparse Additive Models Benjamin Guedj Pierre Alquier 98 47 0 06 Aug 2012
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers Pierre Alquier 156 58 0 11 Dec 2007
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 135 451 0 03 Dec 2007