Eric Moulines

Eric Moulines

École Polytechnique

H-index: 73

Europe-France

About Eric Moulines

Eric Moulines, With an exceptional h-index of 73 and a recent h-index of 44 (since 2020), a distinguished researcher at École Polytechnique, specializes in the field of Statistics, Machine learning, Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors

Inexact subgradient methods for semialgebraic functions

Probability and moment inequalities for additive functionals of geometrically ergodic Markov chains

Finite-Time High-Probability Bounds for Polyak–Ruppert Averaged Iterates of Linear Stochastic Approximation

Incentivized Learning in Principal-Agent Bandit Games

Queuing dynamics of asynchronous Federated Learning

SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning

Model-free Posterior Sampling via Learning Rate Randomization

Eric Moulines Information

University

Position

Professeur Membre de l'Académie des Sciences

Citations(all)

30893

Citations(since 2020)

9604

Cited By

31277

hIndex(all)

73

hIndex(since 2020)

44

i10Index(all)

232

i10Index(since 2020)

137

Email

University Profile Page

École Polytechnique

Google Scholar

View Google Scholar Profile

Eric Moulines Skills & Research Interests

Statistics

Machine learning

Signal Processing

Top articles of Eric Moulines

Title

Journal

Author(s)

Publication Date

Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors

arXiv preprint arXiv:2403.11407

Yazid Janati

Alain Durmus

Eric Moulines

Jimmy Olsson

2024/3/18

Inexact subgradient methods for semialgebraic functions

arXiv preprint arXiv:2404.19517

Jérôme Bolte

Tam Le

Éric Moulines

Edouard Pauwels

2024/4/30

Probability and moment inequalities for additive functionals of geometrically ergodic Markov chains

Journal of Theoretical Probability

Alain Durmus

Eric Moulines

Alexey Naumov

Sergey Samsonov

2024/2/18

Finite-Time High-Probability Bounds for Polyak–Ruppert Averaged Iterates of Linear Stochastic Approximation

Mathematics of Operations Research

Alain Durmus

Eric Moulines

Alexey Naumov

Sergey Samsonov

2024/4/16

Incentivized Learning in Principal-Agent Bandit Games

arXiv preprint arXiv:2403.03811

Antoine Scheid

Daniil Tiapkin

Etienne Boursier

Aymeric Capitaine

El Mahdi El Mhamdi

...

2024/3/6

Queuing dynamics of asynchronous Federated Learning

Louis Leconte

Matthieu Jonckheere

Sergey Samsonov

Eric Moulines

2024/4/18

SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning

arXiv preprint arXiv:2402.04114

Paul Mangold

Sergey Samsonov

Safwan Labbi

Ilya Levin

Reda Alami

...

2024/2/6

Model-free Posterior Sampling via Learning Rate Randomization

Daniil Tiapkin

Denis Belomestny

Daniele Calandriello

Eric Moulines

Remi Munos

...

2023

FAVANO: Federated Averaging with Asynchronous Nodes

Louis Leconte

Eric Moulines

2024/4/14

Efficient Conformal Prediction under Data Heterogeneity

Vincent Plassier

Nikita Kotelevskii

Aleksandr Rubashevskii

Fedor Noskov

Maksim Velikanov

...

2024/4/18

On geometric convergence for the Metropolis-adjusted Langevin algorithm under simple conditions

Biometrika

Alain Oliviero-Durmus

Éric Moulines

2024/3/1

OBJECT DETECTION MODELS SENSITIVITY & ROBUSTNESS TO SATELLITE-BASED ADVERSARIAL ATTACKS

Jade Eva Guisiano

Domenico Barretta

Éric Moulines

Thomas Lauvaux

Jérémie Sublime

2024/7/7

Rates of convergence for density estimation with generative adversarial networks

Journal of Machine Learning Research

Nikita Puchkin

Sergey Samsonov

Denis Belomestny

Eric Moulines

Alexey Naumov

2024

First order methods with markovian noise: from acceleration to variational inequalities

Aleksandr Beznosikov

Sergey Samsonov

Marina Sheshukova

Alexander Gasnikov

Alexey Naumov

...

2023

Distributed Monte Carlo with application to large-scale Bayesian inference

V Plassier

A Durmus

E Moulines

2023/4/5

O&GProfile: Automated attribution of GHGSat point source methane emissions detections to O&G infrastructures for site emissions profile analysis (Permian)

EGU General Assembly Conference Abstracts

Jade Eva Guisiano

Thomas Lauvaux

Claudio Cifarelli

Éric Moulines

Jérémie Sublime

2023/5

Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study

Fouzi Boukhalfa

Reda Alami

Mastane Achab

Eric Moulines

Mehdi Bennis

2023/10

Fast rates for maximum entropy exploration

Daniil Tiapkin

Denis Belomestny

Daniele Calandriello

Eric Moulines

Remi Munos

...

2023/3/14

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

Statistics and Computing

Gersende Fort

Eric Moulines

2023/6

Federated Boolean Neural Networks Learning

Louis Leconte

Eric Moulines

2023/9/18

See List of Professors in Eric Moulines University(École Polytechnique)