On Margins and Derandomisation in PAC-Bayes

8 July 2021

Papers citing "On Margins and Derandomisation in PAC-Bayes"

20 / 20 papers shown

Title
Comparing Comparators in Generalization Bounds Fredrik Hellström Benjamin Guedj 23 4 0 16 Oct 2023
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting Felix Biggs Antonin Schrab A. Gretton 17 19 0 14 Jun 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 30 12 0 07 Jun 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models S. Mbacke Florence Clerc Pascal Germain 24 8 0 17 Feb 2023
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 36 0 0 16 Oct 2022
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales Maxime Haddouche Benjamin Guedj 48 20 0 03 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
On Margins and Generalisation for Voting Classifiers Felix Biggs Valentina Zantedeschi Benjamin Guedj 25 8 0 09 Jun 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
On change of measure inequalities for $f$ -divergences Antoine Picard-Weibel Benjamin Guedj 25 13 0 11 Feb 2022
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound Reuben Adams John Shawe-Taylor Benjamin Guedj 14 2 0 11 Feb 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs Benjamin Guedj BDL 30 26 0 03 Feb 2022
PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss Matías Vera L. Rey Vega Pablo Piantanida 23 0 0 10 Dec 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 37 196 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
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote A. Masegosa S. Lorenzen Christian Igel Yevgeny Seldin 26 40 0 01 Jul 2020
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 114 577 0 27 Feb 2015
PAC-Bayesian Estimation and Prediction in Sparse Additive Models Benjamin Guedj Pierre Alquier 100 47 0 06 Aug 2012
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 139 453 0 03 Dec 2007