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From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD.

, and . CoRR, (2023)

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From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD., and . CoRR, (2023)Tighter Generalisation Bounds via Interpolation., , , and . CoRR, (2024)A General Framework for the Derandomization of PAC-Bayesian Bounds., , , and . CoRR, (2021)A PAC-Bayes Analysis of Adversarial Robustness., , , and . NeurIPS, page 14421-14433. (2021)Learning via Wasserstein-Based High Probability Generalisation Bounds., , , and . CoRR, (2023)A PAC-Bayesian Link Between Generalisation and Flat Minima., , , and . CoRR, (2024)Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound., , , , , , and . NeurIPS, page 455-467. (2021)A general framework for the practical disintegration of PAC-Bayesian bounds., , , and . Mach. Learn., 113 (2): 519-604 (February 2024)Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound., , , and . ECML/PKDD (2), volume 12976 of Lecture Notes in Computer Science, page 167-183. Springer, (2021)Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures., , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3007-3015. PMLR, (2024)