Maxime Haddouche

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Learning Theory

Top Venues

Trans. Mach. Learn. Res.

Publications

Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj
A PAC-Bayesian Link Between Generalisation and Flat Minima. CoRR (2024)
Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
Tighter Generalisation Bounds via Interpolation. CoRR (2024)
Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
Learning via Wasserstein-Based High Probability Generalisation Bounds. NeurIPS (2023)
Pierre Jobic, Maxime Haddouche, Benjamin Guedj
Federated Learning with Nonvacuous Generalisation Bounds. CoRR (2023)
Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
Learning via Wasserstein-Based High Probability Generalisation Bounds. CoRR (2023)
Maxime Haddouche, Benjamin Guedj, Olivier Wintenberger
Optimistic Dynamic Regret Bounds. CoRR (2023)
Maxime Haddouche, Benjamin Guedj
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales. Trans. Mach. Learn. Res. 2023 (2023)
Maxime Haddouche, Benjamin Guedj
Wasserstein PAC-Bayes Learning: A Bridge Between Generalisation and Optimisation. CoRR (2023)
Maxime Haddouche, Benjamin Guedj
Online PAC-Bayes Learning. NeurIPS (2022)
Maxime Haddouche, Benjamin Guedj
PAC-Bayes with Unbounded Losses through Supermartingales. CoRR (2022)
Maxime Haddouche, Benjamin Guedj
Online PAC-Bayes Learning. CoRR (2022)
Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor
PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses. Entropy 23 (10) (2021)
Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor
Upper and Lower Bounds on the Performance of Kernel PCA. CoRR (2020)
Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor
PAC-Bayes unleashed: generalisation bounds with unbounded losses. CoRR (2020)