Likelihood Maximization and Moment Matching in Low SNR Gaussian Mixture Models

26 June 2020

Papers citing "Likelihood Maximization and Moment Matching in Low SNR Gaussian Mixture Models"

10 / 10 papers shown

Title
Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model Z. Fan Yi Sun Tianhao Wang Yihong Wu 47 18 0 31 Mar 2020
$Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations$ Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations Yihong Wu Harrison H. Zhou 242 42 0 28 Aug 2019
Heterogeneous multireference alignment for images with application to 2-D classification in single particle reconstruction Chao Ma Tamir Bendory Nicolas Boumal F. Sigworth A. Singer 42 26 0 12 Oct 2018
Estimation under group actions: recovering orbits from invariants Afonso S. Bandeira Ben Blum-Smith Joe Kileel Amelia Perry Jonathan Niles-Weed Alexander S. Wein 129 69 0 29 Dec 2017
On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising Sujayam Saha Adityanand Guntuboyina 68 46 0 06 Dec 2017
The sample complexity of multi-reference alignment Amelia Perry Jonathan Niles-Weed Afonso S. Bandeira Philippe Rigollet A. Singer 80 38 0 04 Jul 2017
Optimal rates of estimation for multi-reference alignment Afonso S. Bandeira Philippe Rigollet Jonathan Niles-Weed 272 61 0 27 Feb 2017
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 111 131 0 04 Sep 2016
Global analysis of Expectation Maximization for mixtures of two Gaussians Ji Xu Daniel J. Hsu A. Maleki 262 126 0 26 Aug 2016
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 300 478 0 09 Aug 2014