38 citations · 64 across the 3 of their papers we have counts for
3 papers
math.OC2014★ 38 cited
An Accelerated Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization
Qihang Lin, Zhaosong Lu, Lin Xiao
We consider the problem of minimizing the sum of two convex functions: one is smooth and given by a gradient oracle, and the other is separable over blocks of coordinates and has a…
math.OC2014★ 26 cited
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao, Tong Zhang
We consider the problem of minimizing the sum of two convex functions: one is the average of a large number of smooth component functions, and the other is a general convex functio…
math.OC2012
A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem
Lin Xiao, Tong Zhang
We consider solving the -regularized least-squares (-LS) problem in the context of sparse recovery, for applications such as compressed sensing. The standard proxim…