90 citations · 403 across the 37 of their papers we have counts for
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math.OC2021
Federated Expectation Maximization with heterogeneity mitigation and variance reduction
Aymeric Dieuleveut, Gersende Fort, Eric Moulines +1
The Expectation Maximization (EM) algorithm is the default algorithm for inference in latent variable models. As in any other field of machine learning, applications of latent vari…
eess.SP2021
The perturbed prox-preconditioned spider algorithm: non-asymptotic convergence bounds
Gersende Fort, E Moulines
A novel algorithm named Perturbed Prox-Preconditioned SPIDER (3P-SPIDER) is introduced. It is a stochastic variancereduced proximal-gradient type algorithm built on Stochastic Path…
cs.LG2021
The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning
Gersende Fort, Eric Moulines
Incremental Expectation Maximization (EM) algorithms were introduced to design EM for the large scale learning framework by avoiding the full data set to be processed at each itera…