Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence

29 December 2020

Papers citing "Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence"

11 / 11 papers shown

Title
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods Belhal Karimi Hoi-To Wai Eric Moulines M. Lavielle 53 27 0 28 Oct 2019
Mini-batch learning of exponential family finite mixture models Hien Nguyen F. Forbes Geoffrey J. McLachlan 18 24 0 09 Feb 2019
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme Belhal Karimi B. Miasojedow Eric Moulines Hoi-To Wai 37 90 0 02 Feb 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator Cong Fang C. J. Li Zhouchen Lin Tong Zhang 79 572 0 04 Jul 2018
Variance Reduction for Faster Non-Convex Optimization Zeyuan Allen-Zhu Elad Hazan ODL 100 391 0 17 Mar 2016
Generalized Majorization-Minimization S. N. Parizi Kun He Reza Aghajani Stan Sclaroff Pedro F. Felzenszwalb 38 15 0 25 Jun 2015
A Lower Bound for the Optimization of Finite Sums Alekh Agarwal Léon Bottou 124 124 0 02 Oct 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 105 1,817 0 01 Jul 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 71 1,538 0 22 Sep 2013
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 245 1,245 0 10 Sep 2013
Online EM Algorithm for Latent Data Models Olivier Cappé Eric Moulines 102 479 0 27 Dec 2007