Local Maxima in the Likelihood of Gaussian Mixture Models: Structural
Results and Algorithmic Consequences

Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences

4 September 2016

Sivaraman Balakrishnan

Martin J. Wainwright

Michael I. Jordan

Papers citing "Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences"

15 / 15 papers shown

Title
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
An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network Weiguo Lu Xuan Wu Deng Ding Gangnan Yuan BDL 30 1 0 18 Aug 2023
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow Yuling Yan Kaizheng Wang Philippe Rigollet 44 20 0 04 Jan 2023
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data Yubo Zhuang Xiaohui Chen Yun Yang 24 1 0 29 Sep 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model Zhongyuan Lyu Dong Xia 29 3 0 11 Jul 2022
A sampling-based approach for efficient clustering in large datasets Georgios Exarchakis Omar Oubari Gregor Lenz 17 5 0 29 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
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
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty Savas Ozkan G. Akar UQCV 6 13 0 03 Aug 2018
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants Yu Lu Harrison H. Zhou 22 108 0 07 Dec 2016
Global analysis of Expectation Maximization for mixtures of two Gaussians Ji Xu Daniel J. Hsu A. Maleki 28 125 0 26 Aug 2016