Support Recovery in Mixture Models with Sparse Parameters

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Support Recovery in Mixture Models with Sparse Parameters

24 February 2022

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Papers citing "Support Recovery in Mixture Models with Sparse Parameters"

10 / 10 papers shown

Title
Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression Jeongyeol Kwon Wei Qian Constantine Caramanis Yudong Chen Damek Davis 65 57 0 12 Oct 2018
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization Xinyang Yi Constantine Caramanis Sujay Sanghavi 66 60 0 19 Aug 2016
Detection and Feature Selection in Sparse Mixture Models Nicolas Verzélen E. Arias-Castro 138 41 0 07 May 2014
Matrix factorization with Binary Components M. Slawski Matthias Hein P. Lutsik 81 41 0 23 Jan 2014
Learning Mixtures of Linear Classifiers Yuekai Sun Stratis Ioannidis Andrea Montanari 103 22 0 11 Nov 2013
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation Martin Azizyan Aarti Singh Larry A. Wasserman 114 64 0 09 Jun 2013
Efficient Density Estimation via Piecewise Polynomial Approximation Siu On Chan Ilias Diakonikolas Rocco A. Servedio Xiaorui Sun 118 116 0 14 May 2013
Computing a Nonnegative Matrix Factorization -- Provably Sanjeev Arora Rong Ge R. Kannan Ankur Moitra 309 399 0 03 Nov 2011
Polynomial Learning of Distribution Families M. Belkin Kaushik Sinha 399 226 0 27 Apr 2010
Settling the Polynomial Learnability of Mixtures of Gaussians Ankur Moitra Gregory Valiant 250 343 0 23 Apr 2010

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