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Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL
  Divergence for Exponential Families via Mirror Descent

Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent

2 November 2020
Frederik Kunstner
Raunak Kumar
Mark W. Schmidt
ArXivPDFHTML

Papers citing "Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent"

5 / 5 papers shown
Title
PRIOR: Personalized Prior for Reactivating the Information Overlooked in
  Federated Learning
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
Mingjia Shi
Yuhao Zhou
Kai Wang
Huaizheng Zhang
Shudong Huang
Qing Ye
Jiangcheng Lv
21
9
0
13 Oct 2023
Asymptotic convergence of iterative optimization algorithms
Asymptotic convergence of iterative optimization algorithms
Randal Douc
Sylvain Le Corff
14
0
0
24 Feb 2023
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
The Bayesian Learning Rule
The Bayesian Learning Rule
Mohammad Emtiyaz Khan
Håvard Rue
BDL
55
73
0
09 Jul 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
76
317
0
18 Feb 2014
1