PAC-Bayes Analysis Beyond the Usual Bounds

23 June 2020

Papers citing "PAC-Bayes Analysis Beyond the Usual Bounds"

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Title
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 88 1 0 21 Feb 2025
Generalization Error of the Tilted Empirical Risk Gholamali Aminian Amir R. Asadi Tian Li Ahmad Beirami G. Reinert Samuel N. Cohen 21 1 0 28 Sep 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning Xinrui Wang Chuanxing Geng Wenhai Wan Shao-yuan Li Songcan Chen CLL 37 2 0 28 Sep 2024
Generalization of Hamiltonian algorithms Andreas Maurer 16 1 0 23 May 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets Benjamin Dupuis Paul Viallard George Deligiannidis Umut Simsekli 40 2 0 26 Apr 2024
A note on generalization bounds for losses with finite moments Borja Rodríguez Gálvez Omar Rivasplata Ragnar Thobaben Mikael Skoglund 26 0 0 25 Mar 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures Paul Viallard Rémi Emonet Amaury Habrard Emilie Morvant Valentina Zantedeschi 33 3 0 19 Feb 2024
Better-than-KL PAC-Bayes Bounds Ilja Kuzborskij Kwang-Sung Jun Yulian Wu Kyoungseok Jang Francesco Orabona FedML 30 2 0 14 Feb 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima Maxime Haddouche Paul Viallard Umut Simsekli Benjamin Guedj 37 3 0 13 Feb 2024
Tighter Generalisation Bounds via Interpolation Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 11 3 0 07 Feb 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 32 3 0 16 Jan 2024
PAC-Bayes-Chernoff bounds for unbounded losses Ioar Casado Luis A. Ortega A. Masegosa Aritz Pérez Martínez 22 6 0 02 Jan 2024
Comparing Comparators in Generalization Bounds Fredrik Hellström Benjamin Guedj 23 4 0 16 Oct 2023
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory S. Mbacke Florence Clerc Pascal Germain DRL 20 9 0 07 Oct 2023
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation Maxime Haddouche Benjamin Guedj 25 0 0 14 Apr 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 21 1 0 15 Mar 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models S. Mbacke Florence Clerc Pascal Germain 24 8 0 17 Feb 2023
A unified recipe for deriving (time-uniform) PAC-Bayes bounds Ben Chugg Hongjian Wang Aaditya Ramdas 19 24 0 07 Feb 2023
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison H. Flynn David Reeb M. Kandemir Jan Peters OffRL 11 7 0 29 Nov 2022
PAC-Bayesian Learning of Optimization Algorithms Michael Sucker Peter Ochs 16 4 0 20 Oct 2022
A New Family of Generalization Bounds Using Samplewise Evaluated CMI Fredrik Hellström G. Durisi 30 22 0 12 Oct 2022
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales Maxime Haddouche Benjamin Guedj 51 20 0 03 Oct 2022
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 26 4 0 06 Sep 2022
Integral Probability Metrics PAC-Bayes Bounds Ron Amit Baruch Epstein Shay Moran Ron Meir 21 18 0 01 Jul 2022
A General framework for PAC-Bayes Bounds for Meta-Learning A. Rezazadeh AI4CE 21 4 0 11 Jun 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 16 21 0 31 May 2022
Formal limitations of sample-wise information-theoretic generalization bounds Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan 19 2 0 13 May 2022
Investigating Generalization by Controlling Normalized Margin Alexander R. Farhang Jeremy Bernstein Kushal Tirumala Yang Liu Yisong Yue 23 6 0 08 May 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 45 17 0 23 Feb 2022
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality Fusheng Liu Haizhao Yang Soufiane Hayou Qianxiao Li AI4CE 11 2 0 22 Feb 2022
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression Jing Xu Jiaye Teng Yang Yuan Andrew Chi-Chih Yao 21 1 0 12 Feb 2022
Weight Expansion: A New Perspective on Dropout and Generalization Gao Jin Xinping Yi Pengfei Yang Lijun Zhang S. Schewe Xiaowei Huang 29 5 0 23 Jan 2022
Progress in Self-Certified Neural Networks Maria Perez-Ortiz Omar Rivasplata E. Parrado-Hernández Benjamin Guedj John Shawe-Taylor 11 13 0 15 Nov 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 42 196 0 21 Oct 2021
Kernel Interpolation as a Bayes Point Machine Jeremy Bernstein Alexander R. Farhang Yisong Yue BDL 24 4 0 08 Oct 2021
Learning PAC-Bayes Priors for Probabilistic Neural Networks Maria Perez-Ortiz Omar Rivasplata Benjamin Guedj M. Gleeson Jingyu Zhang John Shawe-Taylor M. Bober J. Kittler UQCV 51 31 0 21 Sep 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
How Tight Can PAC-Bayes be in the Small Data Regime? Andrew Y. K. Foong W. Bruinsma David R. Burt Richard E. Turner 17 20 0 07 Jun 2021
A unified PAC-Bayesian framework for machine unlearning via information risk minimization Sharu Theresa Jose Osvaldo Simeone MU 11 7 0 01 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 29 124 0 14 May 2021
Information Complexity and Generalization Bounds P. Banerjee Guido Montúfar 13 14 0 04 May 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 21 34 0 12 Feb 2021
Bayesian Neural Network Priors Revisited Vincent Fortuin Adrià Garriga-Alonso Sebastian W. Ober F. Wenzel Gunnar Rätsch Richard E. Turner Mark van der Wilk Laurence Aitchison BDL UQCV 59 137 0 12 Feb 2021
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms Gholamali Aminian Laura Toni M. Rodrigues 62 16 0 03 Feb 2021
A note on a confidence bound of Kuzborskij and Szepesvári Omar Rivasplata 9 0 0 12 Jan 2021
Upper and Lower Bounds on the Performance of Kernel PCA Maxime Haddouche Benjamin Guedj John Shawe-Taylor 19 4 0 18 Dec 2020
Generalization bounds for deep learning Guillermo Valle Pérez A. Louis BDL 11 44 0 07 Dec 2020
Risk-Monotonicity in Statistical Learning Zakaria Mhammedi 22 7 0 28 Nov 2020
Non-exponentially weighted aggregation: regret bounds for unbounded loss functions Pierre Alquier 17 18 0 07 Sep 2020