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Eric Moulines
63 publications
Hoi-To Wai
34 publications
Aymeric Dieuleveut
19 publications
Patrice Abry
13 publications
Nelly Pustelnik
11 publications
Geneviève Robin
9 publications
E. Moulines
7 publications
Berna Sayrac
5 publications
Barbara Pascal
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Hajer Braham
2 publications
Sana Ben Jemaa
2 publications

∙ 02/22/2023

Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning

Stochastic approximation (SA) is a classical algorithm that has had sinc...

0 Aymeric Dieuleveut, et al. ∙

∙ 01/02/2023

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

This paper introduces a novel algorithm, the Perturbed Proximal Precondi...

0 Gersende Fort, et al. ∙

∙ 03/17/2022

Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers

Monitoring the Covid19 pandemic constitutes a critical societal stake th...

0 Gersende Fort, et al. ∙

∙ 02/11/2022

Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling

Monitoring the evolution of the Covid19 pandemic constitutes a critical ...

0 Patrice Abry, et al. ∙

∙ 11/03/2021

Federated Expectation Maximization with heterogeneity mitigation and variance reduction

The Expectation Maximization (EM) algorithm is the default algorithm for...

0 Aymeric Dieuleveut, et al. ∙

∙ 05/25/2021

The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning

Incremental Expectation Maximization (EM) algorithms were introduced to ...

0 Gersende Fort, et al. ∙

∙ 12/29/2020

Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence

Fast Incremental Expectation Maximization (FIEM) is a version of the EM ...

0 Gersende Fort, et al. ∙

∙ 11/30/2020

A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm

The Expectation Maximization (EM) algorithm is of key importance for inf...

0 Gersende Fort, et al. ∙

∙ 11/24/2020

Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization

The Expectation Maximization (EM) algorithm is a key reference for infer...

0 Gersende Fort, et al. ∙

∙ 10/13/2015

Spatial Prediction Under Location Uncertainty In Cellular Networks

Coverage optimization is an important process for the operator as it is ...

0 Hajer Braham, et al. ∙

∙ 05/26/2015

Fixed Rank Kriging for Cellular Coverage Analysis

Coverage planning and optimization is one of the most crucial tasks for ...

0 Hajer Braham, et al. ∙

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