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Randomly initialized EM algorithm for two-component Gaussian mixture
  achieves near optimality in $O(\sqrt{n})$ iterations

Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in O(n)O(\sqrt{n})O(n​) iterations

28 August 2019
Yihong Wu
Harrison H. Zhou
ArXivPDFHTML

Papers citing "Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations"

17 / 17 papers shown
Title
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
111
3
0
03 Nov 2023
Iterative Algorithm for Discrete Structure Recovery
Iterative Algorithm for Discrete Structure Recovery
Chao Gao
A. Zhang
464
31
0
04 Nov 2019
Sharp optimal recovery in the two-component Gaussian Mixture Model
Sharp optimal recovery in the two-component Gaussian Mixture Model
M. Ndaoud
263
42
0
19 Dec 2018
Global Convergence of EM Algorithm for Mixtures of Two Component Linear
  Regression
Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression
Jeongyeol Kwon
Wei Qian
Constantine Caramanis
Yudong Chen
Damek Davis
58
57
0
12 Oct 2018
Singularity, Misspecification, and the Convergence Rate of EM
Singularity, Misspecification, and the Convergence Rate of EM
Raaz Dwivedi
Nhat Ho
K. Khamaru
Michael I. Jordan
Martin J. Wainwright
Bin Yu
54
57
0
01 Oct 2018
Optimal estimation of Gaussian mixtures via denoised method of moments
Optimal estimation of Gaussian mixtures via denoised method of moments
Yihong Wu
Pengkun Yang
97
75
0
19 Jul 2018
Gradient Descent with Random Initialization: Fast Global Convergence for
  Nonconvex Phase Retrieval
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
71
237
0
21 Mar 2018
Statistical and Computational Guarantees of Lloyd's Algorithm and its
  Variants
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants
Yu Lu
Harrison H. Zhou
262
109
0
07 Dec 2016
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural
  Results and Algorithmic Consequences
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
Chi Jin
Yuchen Zhang
Sivaraman Balakrishnan
Martin J. Wainwright
Michael I. Jordan
111
131
0
04 Sep 2016
Ten Steps of EM Suffice for Mixtures of Two Gaussians
Ten Steps of EM Suffice for Mixtures of Two Gaussians
C. Daskalakis
Christos Tzamos
Manolis Zampetakis
278
122
0
01 Sep 2016
Global analysis of Expectation Maximization for mixtures of two
  Gaussians
Global analysis of Expectation Maximization for mixtures of two Gaussians
Ji Xu
Daniel J. Hsu
A. Maleki
267
126
0
26 Aug 2016
The Landscape of Empirical Risk for Non-convex Losses
The Landscape of Empirical Risk for Non-convex Losses
Song Mei
Yu Bai
Andrea Montanari
111
312
0
22 Jul 2016
Optimal rates for finite mixture estimation
Optimal rates for finite mixture estimation
P. Heinrich
J. Kahn
68
12
0
15 Jul 2015
Minimax rates for finite mixture estimation
Minimax rates for finite mixture estimation
P. Heinrich
J. Kahn
49
12
0
14 Apr 2015
Statistical guarantees for the EM algorithm: From population to
  sample-based analysis
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan
Martin J. Wainwright
Bin Yu
305
478
0
09 Aug 2014
On the rate of convergence in Wasserstein distance of the empirical
  measure
On the rate of convergence in Wasserstein distance of the empirical measure
N. Fournier
Arnaud Guillin
179
1,142
0
07 Dec 2013
Sparse PCA: Optimal rates and adaptive estimation
Sparse PCA: Optimal rates and adaptive estimation
Tommaso Cai
Zongming Ma
Yihong Wu
149
327
0
06 Nov 2012
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