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Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean
  Separation

Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation

9 June 2013
Martin Azizyan
Aarti Singh
Larry A. Wasserman
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Papers citing "Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation"

6 / 6 papers shown
Title
A Two-round Variant of EM for Gaussian Mixtures
A Two-round Variant of EM for Gaussian Mixtures
S. Dasgupta
Leonard J. Schulman
152
166
0
16 Jan 2013
Minimax sparse principal subspace estimation in high dimensions
Minimax sparse principal subspace estimation in high dimensions
Vincent Q. Vu
Jing Lei
122
194
0
02 Nov 2012
Learning mixtures of spherical Gaussians: moment methods and spectral
  decompositions
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
Daniel J. Hsu
Sham Kakade
202
324
0
25 Jun 2012
Polynomial Learning of Distribution Families
Polynomial Learning of Distribution Families
M. Belkin
Kaushik Sinha
371
224
0
27 Apr 2010
Learning Mixtures of Gaussians using the k-means Algorithm
Learning Mixtures of Gaussians using the k-means Algorithm
Kamalika Chaudhuri
S. Dasgupta
Andrea Vattani
185
35
0
01 Dec 2009
Isotropic PCA and Affine-Invariant Clustering
Isotropic PCA and Affine-Invariant Clustering
Charles Brubaker
Santosh Vempala
188
150
0
22 Apr 2008
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