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

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

Statistics and computing (Stat. Comput.), 2020
29 December 2020
G. Fort
Pierre Gach
Eric Moulines
ArXiv (abs)PDFHTML

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

6 / 6 papers shown
Towards frugal unsupervised detection of subtle abnormalities in medical
  imaging
Towards frugal unsupervised detection of subtle abnormalities in medical imagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Geoffroy Oudoumanessah
Carole Lartizien
M. Dojat
Florence Forbes
MedIm
226
2
0
04 Sep 2023
Stochastic Approximation Beyond Gradient for Signal Processing and
  Machine Learning
Stochastic Approximation Beyond Gradient for Signal Processing and Machine LearningIEEE Transactions on Signal Processing (IEEE TSP), 2023
Hadrien Hendrikx
G. Fort
Eric Moulines
Hoi-To Wai
337
22
0
22 Feb 2023
Stochastic Variable Metric Proximal Gradient with variance reduction for
  non-convex composite optimization
Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimizationStatistics and computing (Stat. Comput.), 2023
G. Fort
Eric Moulines
360
9
0
02 Jan 2023
Federated Expectation Maximization with heterogeneity mitigation and
  variance reduction
Federated Expectation Maximization with heterogeneity mitigation and variance reduction
Hadrien Hendrikx
G. Fort
Eric Moulines
Geneviève Robin
FedML
372
8
0
03 Nov 2021
The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large
  scale learning
The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learningSymposium on Software Performance (SP), 2021
G. Fort
Eric Moulines
TPM
178
2
0
25 May 2021
Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation
  Maximization for Nonconvex Finite-Sum Optimization
Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum OptimizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
G. Fort
Eric Moulines
Hoi-To Wai
TPM
185
8
0
24 Nov 2020
1
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