Learning Stochastic Majority Votes by Minimizing a PAC-Bayes
Generalization Bound

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Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

23 June 2021

Valentina Zantedeschi

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Papers citing "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"

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Title
Learning via Surrogate PAC-Bayes Antoine Picard-Weibel Roman Moscoviz Benjamin Guedj 134 0 0 14 Oct 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets Benjamin Dupuis Paul Viallard George Deligiannidis Umut Simsekli 181 6 0 26 Apr 2024
Bounding the Worst-class Error: A Boosting Approach Yuya Saito Shinnosuke Matsuo Seiichi Uchida D. Suehiro 42 0 0 20 Oct 2023
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 116 4 0 17 Oct 2023
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting Felix Biggs Antonin Schrab Arthur Gretton 148 24 0 14 Jun 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 122 12 0 07 Jun 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty Felix Biggs Benjamin Guedj 117 8 0 20 Oct 2022
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 228 5 0 06 Sep 2022
On Margins and Generalisation for Voting Classifiers Felix Biggs Valentina Zantedeschi Benjamin Guedj 91 8 0 09 Jun 2022
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances Ruben Ohana Kimia Nadjahi A. Rakotomamonjy L. Ralaivola 72 6 0 07 Jun 2022
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior Jun Yu Li Xu Luo Jian Li 124 4 0 27 May 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs Benjamin Guedj BDL 143 27 0 03 Feb 2022
On Margins and Derandomisation in PAC-Bayes Felix Biggs Benjamin Guedj 136 20 0 08 Jul 2021
A PAC-Bayes Analysis of Adversarial Robustness Paul Viallard Guillaume Vidot Amaury Habrard Emilie Morvant AAML 119 15 0 19 Feb 2021