Machine Learning · Computer Science
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky
2024-03-28
Machine Learning · Statistics
A General Framework for the Practical Disintegration of PAC-Bayesian Bounds
Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
2023-09-19
Quantum Physics · Physics
A PAC-Bayesian approach to generalization for quantum models
Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster +2
2026-03-25
Machine Learning · Computer Science
Big Learning with Bayesian Methods
Jun Zhu, Jianfei Chen, Wenbo Hu, Bo Zhang
2017-03-02
Machine Learning · Computer Science
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning
Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu +1
2022-02-07
Machine Learning · Statistics
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
David Reeb, Andreas Doerr, Sebastian Gerwinn, Barbara Rakitsch
2019-08-27
Machine Learning · Statistics
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Jonas Rothfuss, Vincent Fortuin, Martin Josifoski, Andreas Krause
2021-06-21
Machine Learning · Statistics
Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds
Xinping Yi, Gaojie Jin, Xiaowei Huang, Shi Jin
2026-01-14
Machine Learning · Computer Science
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations
Louis Fortier-Dubois, Gaël Letarte, Benjamin Leblanc, François Laviolette +1
2023-04-17
Machine Learning · Computer Science
Prospective Learning in Retrospect
Yuxin Bai, Cecelia Shuai, Ashwin De Silva, Siyu Yu +2
2025-11-13
Machine Learning · Statistics
A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj
2025-02-12