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On the Global Convergence of (Fast) Incremental Expectation Maximization
  Methods

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods

28 October 2019
Belhal Karimi
Hoi-To Wai
Eric Moulines
M. Lavielle
ArXivPDFHTML

Papers citing "On the Global Convergence of (Fast) Incremental Expectation Maximization Methods"

5 / 5 papers shown
Title
Towards frugal unsupervised detection of subtle abnormalities in medical
  imaging
Towards frugal unsupervised detection of subtle abnormalities in medical imaging
Geoffroy Oudoumanessah
Carole Lartizien
M. Dojat
Florence Forbes
MedIm
9
2
0
04 Sep 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 optimization
G. Fort
Eric Moulines
33
6
0
02 Jan 2023
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive
  Coding Networks
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
Tommaso Salvatori
Yuhang Song
Yordan Yordanov
Beren Millidge
Zheng R. Xu
Lei Sha
Cornelius Emde
Rafal Bogacz
Thomas Lukasiewicz
24
10
0
16 Nov 2022
Federated Expectation Maximization with heterogeneity mitigation and
  variance reduction
Federated Expectation Maximization with heterogeneity mitigation and variance reduction
Aymeric Dieuleveut
G. Fort
Eric Moulines
Geneviève Robin
FedML
23
5
0
03 Nov 2021
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
60
317
0
18 Feb 2014
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