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Eric Moulines

CMAP

Rosenthal-type inequalities for linear statistics of Markov chains

Mar 10, 2023
Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Marina Sheshukova

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Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning

Feb 22, 2023
Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Hoi-To Wai

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* 29 pages, 7 pages of supplementary materials

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State and parameter learning with PaRIS particle Gibbs

Jan 02, 2023
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson

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* preprint. arXiv admin note: text overlap with arXiv:2209.10351

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Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization

Jan 02, 2023
Gersende Fort, Eric Moulines

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Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees

Sep 28, 2022
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Mark Rowland, Michal Valko, Pierre Menard

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* arXiv admin note: text overlap with arXiv:2205.07704

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