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Learning Topic Models - Going beyond SVD

Learning Topic Models - Going beyond SVD

9 April 2012
Sanjeev Arora
Rong Ge
Ankur Moitra
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Papers citing "Learning Topic Models - Going beyond SVD"

5 / 5 papers shown
Title
Learning Discrete Concepts in Latent Hierarchical Models
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Erdun Gao
Eric P. Xing
Yuejie Chi
Kun Zhang
63
5
0
01 Jun 2024
Stability of Topic Modeling via Matrix Factorization
Stability of Topic Modeling via Matrix Factorization
Mark Belford
Brian Mac Namee
Derek Greene
26
84
0
23 Feb 2017
Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis
Thomas Hofmann
156
2,805
0
23 Jan 2013
A Method of Moments for Mixture Models and Hidden Markov Models
A Method of Moments for Mixture Models and Hidden Markov Models
Anima Anandkumar
Daniel J. Hsu
Sham Kakade
91
341
0
03 Mar 2012
Computing a Nonnegative Matrix Factorization -- Provably
Computing a Nonnegative Matrix Factorization -- Provably
Sanjeev Arora
Rong Ge
R. Kannan
Ankur Moitra
236
397
0
03 Nov 2011
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