Maxime Haddouche

19 papers A* 2B 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A PAC-Bayesian Link Between Generalisation and Flat Minima. ALT Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj
2025	J	`jnl`	Algorithm- and Data-Dependent Generalization Bounds for Score-Based Generative Models. CoRR Benjamin Dupuis, Dario Shariatian, Maxime Haddouche, Alain Durmus, Umut Simsekli
2025	J	`jnl`	Logarithmic Smoothing for Adaptive PAC-Bayesian Off-Policy Learning. CoRR Maxime Haddouche, Otmane Sakhi
2025	J	`jnl`	Online Decision-Focused Learning. CoRR Aymeric Capitaine, Maxime Haddouche, Eric Moulines, Michael I. Jordan, Etienne Boursier, Alain Durmus
2025	J	`jnl`	Understanding the Generalization Error of Markov algorithms through Poissonization. CoRR Benjamin Dupuis, Maxime Haddouche, George Deligiannidis, Umut Simsekli
2024	J	`jnl`	A PAC-Bayesian Link Between Generalisation and Flat Minima. CoRR Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj
2024	J	`jnl`	Tighter Generalisation Bounds via Interpolation. CoRR Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
2023	J	`jnl`	Federated Learning with Nonvacuous Generalisation Bounds. CoRR Pierre Jobic, Maxime Haddouche, Benjamin Guedj
2023	A*	`conf`	Learning via Wasserstein-Based High Probability Generalisation Bounds. NeurIPS Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
2023	J	`jnl`	Learning via Wasserstein-Based High Probability Generalisation Bounds. CoRR Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
2023	J	`jnl`	Optimistic Dynamic Regret Bounds. CoRR Maxime Haddouche, Benjamin Guedj, Olivier Wintenberger
2023	J	`jnl`	PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales. Trans. Mach. Learn. Res. Maxime Haddouche, Benjamin Guedj
2023	J	`jnl`	Wasserstein PAC-Bayes Learning: A Bridge Between Generalisation and Optimisation. CoRR Maxime Haddouche, Benjamin Guedj
2022	A*	`conf`	Online PAC-Bayes Learning. NeurIPS Maxime Haddouche, Benjamin Guedj
2022	J	`jnl`	Online PAC-Bayes Learning. CoRR Maxime Haddouche, Benjamin Guedj
2022	J	`jnl`	PAC-Bayes with Unbounded Losses through Supermartingales. CoRR Maxime Haddouche, Benjamin Guedj
2021	J	`jnl`	PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses. Entropy Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor
2020	J	`jnl`	PAC-Bayes unleashed: generalisation bounds with unbounded losses. CoRR Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor
2020	J	`jnl`	Upper and Lower Bounds on the Performance of Kernel PCA. CoRR Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor