Haddouche, Maxime

7 publications

ICLR 2026 Online Decision-Focused Learning Aymeric Capitaine, Maxime Haddouche, Eric Moulines, Michael I. Jordan, Etienne Boursier, Alain Oliviero Durmus

ALT 2025 A PAC-Bayesian Link Between Generalisation and Flat Minima Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj

NeurIPS 2025 Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models Benjamin Dupuis, Dario Shariatian, Maxime Haddouche, Alain Oliviero Durmus, Umut Simsekli

NeurIPS 2023 Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj

NeurIPSW 2023 Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj

TMLR 2023 PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses Through Supermartingales Maxime Haddouche, Benjamin Guedj

NeurIPS 2022 Online PAC-Bayes Learning Maxime Haddouche, Benjamin Guedj