Topic Discovery through Data Dependent and Random Projections

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Topic Discovery through Data Dependent and Random Projections

15 March 2013

Prakash Ishwar

Venkatesh Saligrama

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Papers citing "Topic Discovery through Data Dependent and Random Projections"

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Title
Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations Xin Bing F. Bunea Seth Strimas-Mackey M. Wegkamp 77 5 0 12 Jul 2021
Assigning Topics to Documents by Successive Projections Olga Klopp Maxim Panov Suzanne Sigalla Alexandre B. Tsybakov 76 9 0 08 Jul 2021
Optimal estimation of sparse topic models Xin Bing F. Bunea M. Wegkamp 56 10 0 22 Jan 2020
Overlapping Clustering Models, and One (class) SVM to Bind Them All Xueyu Mao Purnamrita Sarkar Deepayan Chakrabarti 70 37 0 18 Jun 2018
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics Xin Bing F. Bunea M. Wegkamp 83 25 0 17 May 2018
Decontamination of Mutual Contamination Models Julian Katz-Samuels Gilles Blanchard Clayton Scott 152 24 0 30 Sep 2017
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations Yuanzhi Li Yingyu Liang 166 17 0 13 Jun 2017
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates Yuanzhi Li Yingyu Liang Andrej Risteski 167 30 0 11 Nov 2016
A Mutual Contamination Analysis of Mixed Membership and Partial Label Models Julian Katz-Samuels Clayton Scott 76 3 0 19 Feb 2016
Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery Weicong Ding Prakash Ishwar Venkatesh Saligrama 56 4 0 23 Aug 2015
Learning Mixed Membership Mallows Models from Pairwise Comparisons Weicong Ding Prakash Ishwar Venkatesh Saligrama 44 13 0 03 Apr 2015
On some provably correct cases of variational inference for topic models Pranjal Awasthi Andrej Risteski VLM BDL 67 17 0 23 Mar 2015
A Topic Modeling Approach to Ranking Weicong Ding Prakash Ishwar Venkatesh Saligrama 199 19 0 11 Dec 2014
First Order Methods for Robust Non-negative Matrix Factorization for Large Scale Noisy Data Gejie Liu Shuchin Aeron 60 1 0 24 Mar 2014
The Why and How of Nonnegative Matrix Factorization Nicolas Gillis 155 365 0 21 Jan 2014
Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models Weicong Ding Prakash Ishwar M. Rohban Venkatesh Saligrama 131 14 0 30 Oct 2013
Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation Nicolas Gillis 162 93 0 28 Oct 2013
Ellipsoidal Rounding for Nonnegative Matrix Factorization Under Noisy Separability Tomohiko Mizutani 105 25 0 23 Sep 2013
A New Geometric Approach to Latent Topic Modeling and Discovery Weicong Ding M. Rohban Prakash Ishwar Venkatesh Saligrama 152 5 0 05 Jan 2013