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A Spectral Algorithm for Latent Dirichlet Allocation
30 April 2012
Anima Anandkumar
Dean Phillips Foster
Daniel J. Hsu
Sham Kakade
Yi-Kai Liu
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Papers citing
"A Spectral Algorithm for Latent Dirichlet Allocation"
13 / 13 papers shown
Title
Polynomial-time Tensor Decompositions with Sum-of-Squares
Tengyu Ma
Jonathan Shi
David Steurer
150
120
0
06 Oct 2016
Probabilistic Latent Semantic Analysis
Thomas Hofmann
208
2,805
0
23 Jan 2013
A Two-round Variant of EM for Gaussian Mixtures
S. Dasgupta
Leonard J. Schulman
92
166
0
16 Jan 2013
Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
Matus Telgarsky
266
1,142
0
29 Oct 2012
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
Daniel J. Hsu
Sham Kakade
99
324
0
25 Jun 2012
Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders
Sanjeev Arora
Rong Ge
Ankur Moitra
Sushant Sachdeva
104
86
0
23 Jun 2012
Learning Topic Models - Going beyond SVD
Sanjeev Arora
Rong Ge
Ankur Moitra
118
432
0
09 Apr 2012
A Method of Moments for Mixture Models and Hidden Markov Models
Anima Anandkumar
Daniel J. Hsu
Sham Kakade
118
341
0
03 Mar 2012
Spectral Methods for Learning Multivariate Latent Tree Structure
Omer Tamuz
Ce Liu
Daniel J. Hsu
Ohad Shamir
Serge J. Belongie
Tong Zhang
61
250
0
07 Jul 2011
Polynomial Learning of Distribution Families
M. Belkin
Kaushik Sinha
231
224
0
27 Apr 2010
Settling the Polynomial Learnability of Mixtures of Gaussians
Ankur Moitra
Gregory Valiant
129
341
0
23 Apr 2010
A Spectral Algorithm for Learning Hidden Markov Models
Daniel J. Hsu
Sham Kakade
Tong Zhang
130
309
0
26 Nov 2008
Isotropic PCA and Affine-Invariant Clustering
Charles Brubaker
Santosh Vempala
126
150
0
22 Apr 2008
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