Éric Moulines

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 13

Top Topics

Variational Inference

Top Venues

SIAM J. Math. Data Sci.

Publications

Arnaud Descours, Tom Huix, Arnaud Guillin, Manon Michel, Éric Moulines, Boris Nectoux
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference. CoRR (2024)
Arnaud Descours, Tom Huix, Arnaud Guillin, Manon Michel, Éric Moulines, Boris Nectoux
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference. COLT (2023)
Louis Grenioux, Alain Durmus, Éric Moulines, Marylou Gabrié
On Sampling with Approximate Transport Maps. CoRR (2023)
Anatoli B. Juditsky, Joon Kwon, Éric Moulines
Unifying mirror descent and dual averaging. Math. Program. 199 (1) (2023)
Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach, Éric Moulines
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold. COLT (2023)
Louis Grenioux, Éric Moulines, Marylou Gabrié
Balanced Training of Energy-Based Models with Adaptive Flow Sampling. CoRR (2023)
Jade Eva Guisiano, Éric Moulines, Thomas Lauvaux, Jérémie Sublime
Oil and Gas Automatic Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery Through Fine-Tuning of Object Detection Models. ICONIP (12) (2023)
Alain Durmus, Éric Moulines
On the geometric convergence for MALA under verifiable conditions. CoRR (2022)
Alain Durmus, Éric Moulines, Marcelo Pereyra
A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau. SIAM Rev. 64 (4) (2022)
Alain Durmus, Aurélien Enfroy, Éric Moulines, Gabriel Stoltz
Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics. CoRR (2021)
Ngoc Huy Chau, Éric Moulines, Miklós Rásonyi, Sotirios Sabanis, Ying Zhang
On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case. SIAM J. Math. Data Sci. 3 (3) (2021)
Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. CoRR (2021)
Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai
Convergence Analysis of Riemannian Stochastic Approximation Schemes. CoRR (2020)
Karim Abed-Meraim, Yingbo Hua, Philippe Loubaton, Éric Moulines
Subspace method for blind identification of multichannel FIR systems in noise field with unknown spatial covariance. IEEE Signal Process. Lett. 4 (5) (1997)
Hélène Valbret, Éric Moulines, Jean-Pierre Tubach
Voice transformation using PSOLA technique. ICASSP (1992)