On the Global Convergence of (Fast) Incremental Expectation Maximization
Methods

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods

28 October 2019

Papers citing "On the Global Convergence of (Fast) Incremental Expectation Maximization Methods"

12 / 12 papers shown

Title
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme Belhal Karimi B. Miasojedow Eric Moulines Hoi-To Wai 32 90 0 02 Feb 2019
Stochastic algorithms with descent guarantees for ICA Pierre Ablin Alexandre Gramfort J. Cardoso Francis R. Bach CML 22 7 0 25 May 2018
Global analysis of Expectation Maximization for mixtures of two Gaussians Ji Xu Daniel J. Hsu A. Maleki 52 125 0 26 Aug 2016
Stochastic Variance Reduction for Nonconvex Optimization Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 75 598 0 19 Mar 2016
Fast Incremental Method for Nonconvex Optimization Sashank J. Reddi S. Sra Barnabás Póczós Alex Smola 60 44 0 19 Mar 2016
Variance Reduction for Faster Non-Convex Optimization Zeyuan Allen-Zhu Elad Hazan ODL 93 391 0 17 Mar 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 147 4,748 0 04 Jan 2016
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 82 477 0 09 Aug 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 84 1,817 0 01 Jul 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 127 317 0 18 Feb 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 46 1,538 0 22 Sep 2013
Online EM Algorithm for Latent Data Models Olivier Cappé Eric Moulines 88 479 0 27 Dec 2007