EM Converges for a Mixture of Many Linear Regressions

28 May 2019

Papers citing "EM Converges for a Mixture of Many Linear Regressions"

12 / 12 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 34 57 0 12 Oct 2018
Statistical Convergence of the EM Algorithm on Gaussian Mixture Models Ruofei Zhao Yuanzhi Li Yuekai Sun 33 46 0 09 Oct 2018
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity Yuanzhi Li Yingyu Liang 45 74 0 22 Feb 2018
On Learning Mixtures of Well-Separated Gaussians O. Regev Aravindan Vijayaraghavan 39 74 0 31 Oct 2017
Estimating the Coefficients of a Mixture of Two Linear Regressions by Expectation Maximization Jason M. Klusowski Dana Yang W. Brinda 51 41 0 26 Apr 2017
A Convex Program for Mixed Linear Regression with a Recovery Guarantee for Well-Separated Data Paul Hand Babhru Joshi 40 12 0 19 Dec 2016
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences Chi Jin Yuchen Zhang Sivaraman Balakrishnan Martin J. Wainwright Michael I. Jordan 61 131 0 04 Sep 2016
Ten Steps of EM Suffice for Mixtures of Two Gaussians C. Daskalakis Christos Tzamos Manolis Zampetakis 81 120 0 01 Sep 2016
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization Xinyang Yi Constantine Caramanis Sujay Sanghavi 49 60 0 19 Aug 2016
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees Xinyang Yi Constantine Caramanis 45 81 0 27 Nov 2015
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 108 477 0 09 Aug 2014
Spectral Experts for Estimating Mixtures of Linear Regressions Arun Tejasvi Chaganty Percy Liang 54 142 0 17 Jun 2013