General Proximal Incremental Aggregated Gradient Algorithms: Better and
Novel Results under General Scheme

General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme

11 October 2019

Tao Sun

Dongsheng Li

Papers citing "General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme"

6 / 6 papers shown

Title
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning Tianyi Chen G. Giannakis Tao Sun W. Yin 55 298 0 25 May 2018
A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations Tao Sun Hao Jiang Lizhi Cheng Wei Zhu 56 7 0 12 Sep 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent Xiangru Lian Ce Zhang Huan Zhang Cho-Jui Hsieh Wei Zhang Ji Liu 50 1,228 0 25 May 2017
A Lower Bound for the Optimization of Finite Sums Alekh Agarwal Léon Bottou 157 124 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 133 1,826 0 01 Jul 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 321 1,248 0 10 Sep 2013