Qihang Lin

Smoothing proximal gradient method for general structured sparse regression

Xi Chen, Qihang Lin, Se Young Kim et al. · The Annals of Applied Statistics · 2012 · 237 citations · Full text

Graph Sparsity, Engineering, Machine Learning +18

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

Qihang Lin, Zhaosong Lu, Lin Xiao · SIAM Journal on Optimization · 2015 · 117 citations

Mathematical Programming, Engineering, Machine Learning +15

Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing

Xi Chen, Qihang Lin, Dengyong Zhou · 2013 · 107 citations

Non-Convex Min-Max Optimization: Provable Algorithms and Applications in Machine Learning

Hassan Rafique, Mingrui Liu, Qihang Lin et al. · arXiv (Cornell University) · 2018 · 101 citations · Full text

Mathematical Programming, Min-max Saddle-point Problems, Engineering +15

Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization

Tianbao Yang, Qihang Lin, Zhe Li · arXiv (Cornell University) · 2016 · 90 citations · Full text

Numerical Analysis, Model Optimization, Engineering +14