Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization

24 June 2015

Papers citing "Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization"

4 / 4 papers shown

Title
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning Michal Dereziñski Christopher Musco Jiaming Yang 75 2 0 09 May 2024
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
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 140 738 0 19 Mar 2014
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 112 1,031 0 10 Sep 2012