NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization

25 May 2016

Papers citing "NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization"

11 / 11 papers shown

Title
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 100 391 0 17 Mar 2016
NEXT: In-Network Nonconvex Optimization P. Lorenzo G. Scutari 86 505 0 01 Feb 2016
An optimal randomized incremental gradient method Guanghui Lan Yi Zhou 101 220 0 08 Jul 2015
Convex Optimization for Big Data Volkan Cevher Stephen Becker Mark Schmidt 43 301 0 04 Nov 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 110 1,817 0 01 Jul 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 90 1,538 0 22 Sep 2013
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 253 1,246 0 10 Sep 2013
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems Zhaoran Wang Han Liu Tong Zhang 87 175 0 20 Jun 2013
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity Po-Ling Loh Martin J. Wainwright 103 560 0 16 Sep 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 280 1,377 0 13 Oct 2010