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Statistical guarantees for the EM algorithm: From population to
  sample-based analysis

Statistical guarantees for the EM algorithm: From population to sample-based analysis

9 August 2014
Sivaraman Balakrishnan
Martin J. Wainwright
Bin Yu
ArXivPDFHTML

Papers citing "Statistical guarantees for the EM algorithm: From population to sample-based analysis"

6 / 156 papers shown
Title
On the nonparametric maximum likelihood estimator for Gaussian location
  mixture densities with application to Gaussian denoising
On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising
Sujayam Saha
Adityanand Guntuboyina
19
46
0
06 Dec 2017
Solving a Mixture of Many Random Linear Equations by Tensor
  Decomposition and Alternating Minimization
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization
Xinyang Yi
C. Caramanis
Sujay Sanghavi
17
59
0
19 Aug 2016
Complete Dictionary Recovery over the Sphere
Complete Dictionary Recovery over the Sphere
Ju Sun
Qing Qu
John N. Wright
25
202
0
26 Apr 2015
Simple, Efficient, and Neural Algorithms for Sparse Coding
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora
Rong Ge
Tengyu Ma
Ankur Moitra
31
189
0
02 Mar 2015
Two convergence results for an alternation maximization procedure
Two convergence results for an alternation maximization procedure
A. Andresen
V. Spokoiny
32
2
0
07 Jan 2015
On EM algorithms and their proximal generalizations
On EM algorithms and their proximal generalizations
Stéphane Chrétien
Alfred Hero
FedML
60
47
0
27 Jan 2012
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