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Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold


Mar 16, 2023
Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach, Eric Moulines

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Fast Rates for Maximum Entropy Exploration


Mar 14, 2023
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Menard

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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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AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks


Nov 07, 2022
Louis Leconte, Sholom Schechtman, Eric Moulines

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Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms


Oct 31, 2022
Vincent Plassier, Alain Durmus, Eric Moulines

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* 58 pages 

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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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BR-SNIS: Bias Reduced Self-Normalized Importance Sampling


Jul 13, 2022
Gabriel Cardoso, Sergey Samsonov, Achille Thin, Eric Moulines, Jimmy Olsson

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