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The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian
  Mixtures

The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures

29 March 2021
Nir Weinberger
Guy Bresler
    FedML
ArXiv (abs)PDFHTML

Papers citing "The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures"

3 / 3 papers shown
Title
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models
Weihang Xu
Maryam Fazel
S. Du
89
2
0
29 Jun 2024
Joint Problems in Learning Multiple Dynamical Systems
Joint Problems in Learning Multiple Dynamical Systems
Mengjia Niu
Xiaoyu He
Petr Rysavý
Quan-Gen Zhou
Georgios Korpas
148
3
0
03 Nov 2023
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture
  Models
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
Yihan Zhang
Nir Weinberger
34
0
0
06 Jun 2022
1