Chopin, Nicolas

10 publications

NeurIPS 2025 Least Squares Variational Inference Yvann Le Fay, Nicolas Chopin, Simon Barthelmé

ICML 2024 A Connection Between Tempering and Entropic Mirror Descent Nicolas Chopin, Francesca Crucinio, Anna Korba

NeurIPS 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin

ICML 2023 Computational Doob H-Transforms for Online Filtering of Discretely Observed Diffusions Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery

TMLR 2023 Fast Slate Policy Optimization: Going Beyond Plackett-Luce Otmane Sakhi, David Rohde, Nicolas Chopin

ICML 2023 PAC-Bayesian Offline Contextual Bandits with Guarantees Otmane Sakhi, Pierre Alquier, Nicolas Chopin

JMLR 2022 De-Sequentialized Monte Carlo: A Parallel-in-Time Particle Smoother Adrien Corenflos, Nicolas Chopin, Simo Särkkä

JMLR 2016 On the Properties of Variational Approximations of Gibbs Posteriors Pierre Alquier, James Ridgway, Nicolas Chopin

NeurIPS 2014 PAC-Bayesian AUC Classification and Scoring James Ridgway, Pierre Alquier, Nicolas Chopin, Feng Liang

ICML 2011 ABC-EP: Expectation Propagation for Likelihoodfree Bayesian Computation Simon Barthelmé, Nicolas Chopin