Global analysis of Expectation Maximization for mixtures of two Gaussians

26 August 2016

Papers citing "Global analysis of Expectation Maximization for mixtures of two Gaussians"

19 / 19 papers shown

Title
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 30 0 0 11 Aug 2024
Einstein from Noise: Statistical Analysis Amnon Balanov Wasim Huleihel Tamir Bendory 23 2 0 07 Jul 2024
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models Weihang Xu Maryam Fazel Simon S. Du 35 1 0 29 Jun 2024
Joint Problems in Learning Multiple Dynamical Systems Mengjia Niu Xiaoyu He Petr Rysavý Quan-Gen Zhou Jakub Marecek 37 3 0 03 Nov 2023
EM's Convergence in Gaussian Latent Tree Models Y. Dagan C. Daskalakis Anthimos Vardis Kandiros 30 2 0 21 Nov 2022
On the Semi-supervised Expectation Maximization Erixhen Sula Lizhong Zheng 19 1 0 01 Nov 2022
A sampling-based approach for efficient clustering in large datasets Georgios Exarchakis Omar Oubari Gregor Lenz 17 5 0 29 Dec 2021
Clustering Mixtures with Almost Optimal Separation in Polynomial Time J. Li Allen Liu 21 23 0 01 Dec 2021
Improved Convergence Guarantees for Learning Gaussian Mixture Models by EM and Gradient EM Nimrod Segol B. Nadler 23 11 0 03 Jan 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 37 165 0 15 Dec 2020
Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model Z. Fan Yi Sun Tianhao Wang Yihong Wu 22 18 0 31 Mar 2020
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods Belhal Karimi Hoi-To Wai Eric Moulines M. Lavielle 27 27 0 28 Oct 2019
Benefits of over-parameterization with EM Ji Xu Daniel J. Hsu A. Maleki 30 29 0 26 Oct 2018
Statistical Convergence of the EM Algorithm on Gaussian Mixture Models Ruofei Zhao Yuanzhi Li Yuekai Sun 14 46 0 09 Oct 2018
Learning Mixture of Gaussians with Streaming Data Aditi Raghunathan Ravishankar Krishnaswamy Prateek Jain 28 8 0 08 Jul 2017
Estimating the Coefficients of a Mixture of Two Linear Regressions by Expectation Maximization Jason M. Klusowski Dana Yang W. Brinda 20 41 0 26 Apr 2017
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants Yu Lu Harrison H. Zhou 22 108 0 07 Dec 2016
Ten Steps of EM Suffice for Mixtures of Two Gaussians C. Daskalakis Christos Tzamos Manolis Zampetakis 21 120 0 01 Sep 2016
On EM algorithms and their proximal generalizations Stéphane Chrétien Alfred Hero FedML 62 47 0 27 Jan 2012