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papers

Publications (12)

On the Global Linear Convergence of the ADMM with Multi-Block Variables

Tianyi Lin, Shiqian Ma, Shuzhong Zhang

Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems

Tianyi Lin, Shiqian Ma, Shuzhong Zhang

Improved Oracle Complexity of Variance Reduced Methods for Nonsmooth Convex Stochastic Composition Optimization

Tianyi Lin, Chenyou Fan, Mengdi Wang

On the Sublinear Convergence Rate of Multi-Block ADMM

Tianyi Lin, Shiqian Ma, Shuzhong Zhang

Sparsemax and Relaxed Wasserstein for Topic Sparsity

Tianyi Lin, Zhiyue Hu, Xin Guo

Iteration Complexity Analysis of Multi-Block ADMM for a Family of Convex Minimization without Strong Convexity

Tianyi Lin, Shiqian Ma, Shuzhong Zhang

Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis

Bo Jiang, Tianyi Lin, Shiqian Ma +1

Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization

Necdet Serhat Aybat, Zi Wang, Tianyi Lin +1

An Extragradient-Based Alternating Direction Method for Convex Minimization

Tianyi Lin, Shiqian Ma, Shuzhong Zhang

Stochastic Primal-Dual Proximal ExtraGradient Descent for Compositely Regularized Optimization

Tianyi Lin, Linbo Qiao, Teng Zhang +2

On the Iteration Complexity Analysis of Stochastic Primal-Dual Hybrid Gradient Approach with High Probability

Linbo Qiao, Tianyi Lin, Qi Qin +1

A Unified Scheme to Accelerate Adaptive Cubic Regularization and Gradient Methods for Convex Optimization

Bo Jiang, Tianyi Lin, Shuzhong Zhang