Improved Optimization of Finite Sums with Minibatch Stochastic Variance
Reduced Proximal Iterations

Improved Optimization of Finite Sums with Minibatch Stochastic Variance Reduced Proximal Iterations

21 June 2017

Tong Zhang

Papers citing "Improved Optimization of Finite Sums with Minibatch Stochastic Variance Reduced Proximal Iterations"

9 / 9 papers shown

Title
Oracle Complexity of Second-Order Methods for Finite-Sum Problems Yossi Arjevani Ohad Shamir 69 24 0 15 Nov 2016
Sub-sampled Newton Methods with Non-uniform Sampling Peng Xu Jiyan Yang Farbod Roosta-Khorasani Christopher Ré Michael W. Mahoney 56 115 0 02 Jul 2016
Second-Order Stochastic Optimization for Machine Learning in Linear Time Naman Agarwal Brian Bullins Elad Hazan ODL 43 102 0 12 Feb 2016
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
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 140 738 0 19 Mar 2014
A Stochastic Quasi-Newton Method for Large-Scale Optimization R. Byrd Samantha Hansen J. Nocedal Y. Singer ODL 87 471 0 27 Jan 2014
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 119 1,031 0 10 Sep 2012
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization Mark Schmidt Nicolas Le Roux Francis R. Bach 143 582 0 12 Sep 2011
Better Mini-Batch Algorithms via Accelerated Gradient Methods Andrew Cotter Ohad Shamir Nathan Srebro Karthik Sridharan ODL 102 313 0 22 Jun 2011