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

24 November 2020

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

5 / 5 papers shown

Title
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning Aymeric Dieuleveut G. Fort Eric Moulines Hoi-To Wai 72 12 0 22 Feb 2023
Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization G. Fort Eric Moulines 84 6 0 02 Jan 2023
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models Belhal Karimi Ping Li BDL 22 0 0 18 Mar 2022
Federated Expectation Maximization with heterogeneity mitigation and variance reduction Aymeric Dieuleveut G. Fort Eric Moulines Geneviève Robin FedML 86 5 0 03 Nov 2021
The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning G. Fort Eric Moulines TPM 18 2 0 25 May 2021