Qihang Lin

activity

20102024

most citedSmoothing Proximal Gradient Method for General Structured Sparse Learning

80 citations · 208 across the 10 of their papers we have counts for

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3 papers · 1 filter

math.OC2016

Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O (1/ ε)$

Yi Xu, Yan Yan, Qihang Lin +1

In this paper, we develop a novel {\bf ho}moto{\bf p}y {\bf s}moothing (HOPS) algorithm for solving a family of non-smooth problems that is composed of a non-smooth term with an ex…

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.OC2010★ 10 cited

A Smoothing Stochastic Gradient Method for Composite Optimization

Qihang Lin, Xi Chen, Javier Pena

We consider the unconstrained optimization problem whose objective function is composed of a smooth and a non-smooth conponents where the smooth component is the expectation a rand…

Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/ε)

An Accelerated Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization

A Smoothing Stochastic Gradient Method for Composite Optimization

Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O (1/ ε)$