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Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data
Recovery
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2024
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HanQin Cai
Chandra Kundu
Jialin Liu
Wotao Yin
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Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic
Programs
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2024
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Ziang Chen
Xiaohan Chen
Jialin Liu
Xinshang Wang
Wotao Yin
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ODE-based Learning to Optimize
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2024
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Zhonglin Xie
Wotao Yin
Zaiwen Wen
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Learning to optimize: A tutorial for continuous and mixed-integer
optimization
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2024
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Xiaohan Chen
Jialin Liu
Wotao Yin
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Block Acceleration Without Momentum: On Optimal Stepsizes of Block
Gradient Descent for Least-Squares
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2024
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Liangzu Peng
Wotao Yin
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Bagging Improves Generalization Exponentially
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2024
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Huaqian Jie
Donghao Ying
Henry Lam
Wotao Yin
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Decomposition Methods for Global Solution of Mixed-Integer Linear Programs
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2024
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Kaizhao Sun
Mou Sun
Wotao Yin
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Revisiting Zeroth-Order Optimization for Memory-Efficient LLM
Fine-Tuning: A Benchmark
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2024
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Yihua Zhang
Pingzhi Li
Junyuan Hong
Jiaxiang Li
Yimeng Zhang
Wenqing Zheng
Pin‐Yu Chen
Jason D. Lee
Wotao Yin
Mingyi Hong
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Efficient Algorithms for Sum-of-Minimum Optimization
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2024
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Lisang Ding
Ziang Chen
Xinshang Wang
Wotao Yin
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Rethinking the Capacity of Graph Neural Networks for Branching Strategy
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2024
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Ziang Chen
Jialin Liu
Xiaohan Chen
Xinshang Wang
Wotao Yin
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Solving General Natural-Language-Description Optimization Problems with Large Language Models
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2024
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Jihai Zhang
Wei Wang
Siyan Guo
Li Wang
Fangquan Lin
Cheng Yang
Wotao Yin
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S<sup>3</sup> Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching
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2024
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Xue Wang
Tian Zhou
Jianqing Zhu
Jialin Liu
Kun Yuan
Tao Yao
Wotao Yin
Rong Jin
HanQin Cai
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PDF
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Safeguarded Learned Convex Optimization
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2023
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Howard Heaton
Xiaohan Chen
Zhangyang Wang
Wotao Yin
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PDF
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From the simplex to the sphere: faster constrained optimization using the Hadamard parametrization
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2023
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Qiuwei Li
Daniel McKenzie
Wotao Yin
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Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
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2023
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Yutong He
Xinmeng Huang
Yiming Chen
Wotao Yin
Kun Yuan
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Towards Constituting Mathematical Structures for Learning to Optimize
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2023
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Jialin Liu
Xiaohan Chen
Shuicheng Yan
Wotao Yin
HanQin Cai
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DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
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2023
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Lisang Ding
Kexin Jin
Bicheng Ying
Kun Yuan
Wotao Yin
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MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning
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2023
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Mengyuan Zhang
Wotao Yin
Mengchang Wang
Yangbin Shen
Xiang Peng
Youting Wu
Liang Zhao
Junqiu Pan
Jiang Hu
KuoLing Huang
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A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability
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2023
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Ming Jin
Bilgehan Sel
Fnu Hardeep
Wotao Yin
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DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee
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2023
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Haoyu Wang
Jialin Liu
Xiaohan Chen
Xinshang Wang
Pan Li
Wotao Yin
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MindOpt Adapter for CPLEX Benchmarking Performance Analysis
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2023
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Mou Sun
Tao Li
Wotao Yin
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Randomized Coordinate Update Methods
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2022
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Ernest K. Ryu
Wotao Yin
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Monotone Operators and Base Splitting Schemes
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2022
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Ernest K. Ryu
Wotao Yin
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+
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Large-Scale Convex Optimization
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2022
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Ernest K. Ryu
Wotao Yin
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Admm-Type Methods
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2022
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Ernest K. Ryu
Wotao Yin
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Maximality and Monotone Operator Theory
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2022
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Ernest K. Ryu
Wotao Yin
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PDF
Chat
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JFB: Jacobian-Free Backpropagation for Implicit Networks
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2022
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Samy Wu Fung
Howard Heaton
Qiuwei Li
Daniel McKenzie
Stanley Osher
Wotao Yin
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PDF
Chat
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A Mean Field Game Inverse Problem
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2022
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Lisang Ding
Wuchen Li
Stanley Osher
Wotao Yin
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Wasserstein-Based Projections with Applications to Inverse Problems
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2022
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Howard Heaton
Samy Wu Fung
A. T. Lin
Stanley Osher
Wotao Yin
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PDF
Chat
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Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
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2022
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HanQin Cai
Daniel McKenzie
Wotao Yin
Zhenliang Zhang
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PDF
Chat
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Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints
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2022
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Jinshan Zeng
Wotao Yin
Ding‐Xuan Zhou
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A Multiscale Semi-Smooth Newton Method for Optimal Transport
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2022
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Yiyang Liu
Zaiwen Wen
Wotao Yin
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PDF
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A one-bit, comparison-based gradient estimator
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2022
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HanQin Cai
Daniel McKenzie
Wotao Yin
Zhenliang Zhang
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An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
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2022
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Yanli Liu
Kaiqing Zhang
Tamer Başar
Wotao Yin
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Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
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2022
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Xinmeng Huang
Yiming Chen
Wotao Yin
Kun Yuan
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On Representing Linear Programs by Graph Neural Networks
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2022
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Ziang Chen
Jialin Liu
Xinshang Wang
Jianfeng Lu
Wotao Yin
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Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate
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2022
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Zhuoqing Song
Weijian Li
Kexin Jin
Lei Shi
Ming Yan
Wotao Yin
Kun Yuan
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On Representing Mixed-Integer Linear Programs by Graph Neural Networks
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2022
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Ziang Chen
Jialin Liu
Xinshang Wang
Jianfeng Lu
Wotao Yin
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Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization
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2022
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Quan Xiao
Han Shen
Wotao Yin
Tianyi Chen
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Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
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2021
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HanQin Cai
Jialin Liu
Wotao Yin
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PDF
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A Novel Convergence Analysis for Algorithms of the Adam Family
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2021
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Zhishuai Guo
Yi Xu
Wotao Yin
Rong Jin
Tianbao Yang
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PDF
Chat
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Feasibility-based fixed point networks
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2021
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Howard Heaton
Samy Wu Fung
Aviv Gibali
Wotao Yin
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Hyperparameter Tuning is All You Need for LISTA.
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2021
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Xiaohan Chen
Jialin Liu
Zhangyang Wang
Wotao Yin
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Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders.
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2021
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Xinmeng Huang
Kun Yuan
Xianghui Mao
Wotao Yin
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PDF
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Exponential Graph is Provably Efficient for Decentralized Deep Training
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2021
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Bicheng Ying
Kun Yuan
Yiming Chen
Hanbin Hu
Pan Pan
Wotao Yin
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PDF
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DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training
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2021
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Kun Yuan
Yiming Chen
Xinmeng Huang
Yingya Zhang
Pan Pan
Yinghui Xu
Wotao Yin
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PDF
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On the geometric analysis of a quartic–quadratic optimization problem under a spherical constraint
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2021
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Haixiang Zhang
Andre Milzarek
Zaiwen Wen
Wotao Yin
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PDF
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Scaled relative graphs: nonexpansive operators via 2D Euclidean geometry
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2021
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Ernest K. Ryu
Robert Hannah
Wotao Yin
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Accelerating Gossip SGD with Periodic Global Averaging
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2021
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Yiming Chen
Kun Yuan
Yingya Zhang
Pan Pan
Yinghui Xu
Wotao Yin
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Learning A Minimax Optimizer: A Pilot Study
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2021
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Jiayi Shen
Xiaohan Chen
Howard Heaton
Tianlong Chen
Jialin Liu
Wotao Yin
Zhangyang Wang
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On Stochastic Moving-Average Estimators for Non-Convex Optimization.
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2021
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Zhishuai Guo
Yi Xu
Wotao Yin
Rong Jin
Tianbao Yang
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On the Comparison between Cyclic Sampling and Random Reshuffling.
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2021
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Xinmeng Huang
Kun Yuan
Xianghui Mao
Wotao Yin
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Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop.
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2021
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Samy Wu Fung
Howard Heaton
Qiuwei Li
Daniel McKenzie
Stanley Osher
Wotao Yin
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Provably Correct Optimization and Exploration with Non-linear Policies
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2021
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Fei Feng
Wotao Yin
Alekh Agarwal
Lin F. Yang
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A Single-Timescale Stochastic Bilevel Optimization Method
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2021
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Tianyi Chen
Yuejiao Sun
Wotao Yin
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PDF
Chat
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Acceleration of Primal–Dual Methods by Preconditioning and Simple Subproblem Procedures
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2021
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Yanli Liu
Yunbei Xu
Wotao Yin
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Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
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2021
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Tianyi Chen
Yuejiao Sun
Wotao Yin
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PDF
Chat
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Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances
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2021
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Jialin Liu
Wotao Yin
Wuchen Li
Yat Tin Chow
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PDF
Chat
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Decentralized Learning With Lazy and Approximate Dual Gradients
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2021
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Yanli Liu
Yuejiao Sun
Wotao Yin
|
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+
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Decomposition Methods for Global Solutions of Mixed-Integer Linear Programs
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2021
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Kaizhao Sun
Mou Sun
Wotao Yin
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+
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A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
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2021
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HanQin Cai
Yuchen Lou
Daniel McKenzie
Wotao Yin
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Learning to Optimize: A Primer and A Benchmark
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2021
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Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
Wotao Yin
|
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Feasibility-based Fixed Point Networks
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2021
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Howard Heaton
Samy Wu Fung
Aviv Gibali
Wotao Yin
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Operator Splitting for Learning to Predict Equilibria in Convex Games
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2021
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Howard Heaton
Daniel McKenzie
Qiuwei Li
Samy Wu Fung
Stanley Osher
Wotao Yin
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Accelerating Gossip SGD with Periodic Global Averaging
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2021
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Yiming Chen
Kun Yuan
Yingya Zhang
Pan Pan
Yinghui Xu
Wotao Yin
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+
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Provably Correct Optimization and Exploration with Non-linear Policies
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2021
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Fei Feng
Wotao Yin
Alekh Agarwal
Lin F. Yang
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+
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Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems
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2021
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Tianyi Chen
Yuejiao Sun
Wotao Yin
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Curvature-Aware Derivative-Free Optimization
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2021
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Bumsu Kim
HanQin Cai
Daniel McKenzie
Wotao Yin
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DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training
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2021
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Kun Yuan
Yiming Chen
Xinmeng Huang
Yingya Zhang
Pan Pan
Yinghui Xu
Wotao Yin
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PDF
Chat
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FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data
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2021
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Xinwei Zhang
Mingyi Hong
Sairaj V. Dhople
Wotao Yin
Yang Liu
|
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Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
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2021
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HanQin Cai
Jialin Liu
Wotao Yin
|
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+
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Hyperparameter Tuning is All You Need for LISTA
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2021
|
Xiaohan Chen
Jialin Liu
Zhangyang Wang
Wotao Yin
|
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+
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Exponential Graph is Provably Efficient for Decentralized Deep Training
|
2021
|
Bicheng Ying
Kun Yuan
Yiming Chen
Hanbin Hu
Pan Pan
Wotao Yin
|
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+
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Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders
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2021
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Xinmeng Huang
Kun Yuan
Xianghui Mao
Wotao Yin
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+
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BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning
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2021
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Bicheng Ying
Kun Yuan
Hanbin Hu
Yiming Chen
Wotao Yin
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A Novel Convergence Analysis for Algorithms of the Adam Family
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2021
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Zhishuai Guo
Yi Xu
Wotao Yin
Rong Jin
Tianbao Yang
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+
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From the simplex to the sphere: Faster constrained optimization using the Hadamard parametrization
|
2021
|
Qiuwei Li
Daniel McKenzie
Wotao Yin
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+
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A Novel Convergence Analysis for Algorithms of the Adam Family and Beyond
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2021
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Zhishuai Guo
Yi Xu
Wotao Yin
Rong Jin
Tianbao Yang
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+
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A Single-Timescale Method for Stochastic Bilevel Optimization
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2021
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Tianyi Chen
Yuejiao Sun
Quan Xiao
Wotao Yin
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+
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Moreau Envelope Augmented Lagrangian Method for Nonconvex Optimization with Linear Constraints
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2021
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Jinshan Zeng
Wotao Yin
Ding‐Xuan Zhou
|
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+
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JFB: Jacobian-Free Backpropagation for Implicit Networks
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2021
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Samy Wu Fung
Howard Heaton
Qiuwei Li
Daniel McKenzie
Stanley Osher
Wotao Yin
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+
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CADA: Communication-Adaptive Distributed Adam
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2020
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Tianyi Chen
Ziye Guo
Yuejiao Sun
Wotao Yin
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PDF
Chat
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CADA: Communication-Adaptive Distributed Adam
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2020
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Tianyi Chen
Ziye Guo
Yuejiao Sun
Wotao Yin
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Hybrid FL: Algorithms and Implementation
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2020
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Xinwei Zhang
Wotao Yin
Mingyi Hong
Tianyi Chen
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Attentional Biased Stochastic Gradient for Imbalanced Classification.
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2020
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Qi Qi
Yi Xu
Rong Jin
Wotao Yin
Tianbao Yang
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SCOBO: Sparsity-Aware Comparison Oracle Based Optimization.
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2020
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HanQin Cai
Daniel McKenzie
Wotao Yin
Zhenliang Zhang
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Projecting to Manifolds via Unsupervised Learning.
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2020
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Howard Heaton
Samy Wu Fung
A. T. Lin
Stanley Osher
Wotao Yin
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An Improved Analysis of Stochastic Gradient Descent with Momentum
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2020
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Yanli Liu
Yuan Gao
Wotao Yin
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+
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FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.
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2020
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Xinwei Zhang
Mingyi Hong
Sairaj V. Dhople
Wotao Yin
Yang Liu
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+
PDF
Chat
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Tight coefficients of averaged operators via scaled relative graph
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2020
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Xinmeng Huang
Ernest K. Ryu
Wotao Yin
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Provably Efficient Exploration for RL with Unsupervised Learning
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2020
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Fei Feng
Ruosong Wang
Wotao Yin
Simon S. Du
Lin F. Yang
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+
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Scaled Relative Graph of Normal Matrices
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2020
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Xinmeng Huang
Ernest K. Ryu
Wotao Yin
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+
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LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning
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2020
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Tianyi Chen
Yuejiao Sun
Wotao Yin
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+
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Safeguarded Learned Convex Optimization
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2020
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Howard Heaton
Xiaohan Chen
Zhangyang Wang
Wotao Yin
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PDF
Chat
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Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization
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2020
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Xianghui Mao
Kun Yuan
Yubin Hu
Yuantao Gu
Ali H. Sayed
Wotao Yin
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VAFL: a Method of Vertical Asynchronous Federated Learning
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2020
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Tianyi Chen
Xiao Jin
Yuejiao Sun
Wotao Yin
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+
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Decentralized Learning with Lazy and Approximate Dual Gradients
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2020
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Yanli Liu
Yuejiao Sun
Wotao Yin
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+
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Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters
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2020
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Huan Li
Cong Fang
Wotao Yin
Zhouchen Lin
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Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
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2020
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Fei Feng
Ruosong Wang
Wotao Yin
Simon S. Du
Lin F. Yang
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+
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An Improved Analysis of Stochastic Gradient Descent with Momentum
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2020
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Yanli Liu
Yuan Gao
Wotao Yin
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+
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Hybrid Federated Learning: Algorithms and Implementation
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2020
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Xinwei Zhang
Wotao Yin
Mingyi Hong
Tianyi Chen
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+
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CADA: Communication-Adaptive Distributed Adam
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2020
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Tianyi Chen
Ziye Guo
Yuejiao Sun
Wotao Yin
|
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+
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Wasserstein-based Projections with Applications to Inverse Problems
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2020
|
Howard Heaton
Samy Wu Fung
A. T. Lin
Stanley Osher
Wotao Yin
|
|
+
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Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
|
2020
|
HanQin Cai
Daniel McKenzie
Wotao Yin
Zhenliang Zhang
|
|
+
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Attentional-Biased Stochastic Gradient Descent
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2020
|
Qi Qi
Yi Xu
Rong Jin
Wotao Yin
Tianbao Yang
|
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+
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A mean field game inverse problem
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2020
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Lisang Ding
Wuchen Li
Stanley Osher
Wotao Yin
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+
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Does Knowledge Transfer Always Help to Learn a Better Policy
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2019
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Fei Feng
Wotao Yin
Lin F. Yang
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+
PDF
Chat
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Markov chain block coordinate descent
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2019
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Tao Sun
Yuejiao Sun
Yangyang Xu
Wotao Yin
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+
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ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs
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2019
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Ernest K. Ryu
Kun Yuan
Wotao Yin
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PDF
Chat
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Douglas–Rachford splitting and ADMM for pathological convex optimization
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2019
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Ernest K. Ryu
Yanli Liu
Wotao Yin
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Acceleration of SVRG and Katyusha X by Inexact Preconditioning.
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2019
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Liu Yan-li
Fei Feng
Wotao Yin
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+
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Consistent Dynamic Mode Decomposition
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2019
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Omri Azencot
Wotao Yin
Andrea L. Bertozzi
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PDF
Chat
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Algorithm for Hamilton–Jacobi Equations in Density Space Via a Generalized Hopf Formula
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2019
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Yat Tin Chow
Wuchen Li
Stanley Osher
Wotao Yin
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+
PDF
Chat
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Run-and-Inspect Method for nonconvex optimization and global optimality bounds for R-local minimizers
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2019
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Yifan Chen
Yuejiao Sun
Wotao Yin
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+
PDF
Chat
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Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations
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2019
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Yat Tin Chow
Jérôme Darbon
Stanley Osher
Wotao Yin
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+
PDF
Chat
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An Envelope for Davis–Yin Splitting and Strict Saddle-Point Avoidance
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2019
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Yanli Liu
Wotao Yin
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+
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Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
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2019
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Ernest K. Ryu
Jialin Liu
Sicheng Wang
Xiaohan Chen
Zhangyang Wang
Wotao Yin
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+
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Acceleration of SVRG and Katyusha X by Inexact Preconditioning
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2019
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Yanli Liu
Fei Feng
Wotao Yin
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+
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On The Geometric Analysis of A Quartic-quadratic Optimization Problem under A Spherical Constraint
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2019
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Haixiang Zhang
Andre Milzarek
Zaiwen Wen
Wotao Yin
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+
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XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training
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2019
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Lei Guan
Wotao Yin
Dongsheng Li
Xicheng Lu
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+
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Tight Coefficients of Averaged Operators via Scaled Relative Graph
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2019
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Xinmeng Huang
Ernest K. Ryu
Wotao Yin
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+
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How Does an Approximate Model Help in Reinforcement Learning?
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2019
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Fei Feng
Wotao Yin
Lin F. Yang
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+
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Consistent Dynamic Mode Decomposition
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2019
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Omri Azencot
Wotao Yin
Andrea L. Bertozzi
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+
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ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
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2019
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Ernest K. Ryu
Kun Yuan
Wotao Yin
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AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Reinforcement Learning with Near-Optimal Sample Complexity.
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2018
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Yibo Zeng
Fei Feng
Wotao Yin
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Acceleration of Primal-Dual Methods by Preconditioning and Fixed Number of Inner Loops
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2018
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Liu Yan-li
Yunbei Xu
Wotao Yin
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PDF
Chat
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Denoising Prior Driven Deep Neural Network for Image Restoration
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2018
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Weisheng Dong
Peiyao Wang
Wotao Yin
Guangming Shi
Fangfang Wu
Xiaotong Lu
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A Sharp Convergence Rate Analysis for Distributed Accelerated Gradient Methods
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2018
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Huan Li
Cong Fang
Wotao Yin
Zhouchen Lin
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+
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On Markov Chain Gradient Descent
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2018
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Tao Sun
Yuejiao Sun
Wotao Yin
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+
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Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
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2018
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Xiaohan Chen
Jialin Liu
Zhangyang Wang
Wotao Yin
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PDF
Chat
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Global Convergence of ADMM in Nonconvex Nonsmooth Optimization
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2018
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Yu Wang
Wotao Yin
Jinshan Zeng
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+
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A new use of Douglas–Rachford splitting for identifying infeasible, unbounded, and pathological conic programs
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2018
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Yanli Liu
Ernest K. Ryu
Wotao Yin
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On Nonconvex Decentralized Gradient Descent
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2018
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Jinshan Zeng
Wotao Yin
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+
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Douglas-Rachford Splitting for Pathological Convex Optimization
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2018
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Ernest K. Ryu
Yanli Liu
Wotao Yin
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Algorithm for overcoming the curse of dimensionality for certain non-convex Hamilton–Jacobi equations, projections and differential games
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2018
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Yat Tin Chow
Jérôme Darbon
Stanley Osher
Wotao Yin
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Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning
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2018
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Can Karakus
Yifan Sun
Suhas Diggavi
Wotao Yin
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A2BCD: An Asynchronous Accelerated Block Coordinate Descent Algorithm With Optimal Complexity
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2018
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Robert Hannah
Fei Feng
Wotao Yin
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PDF
Chat
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First- and Second-Order Methods for Online Convolutional Dictionary Learning
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2018
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Jialin Liu
Cristina Garcia‐Cardona
Brendt Wohlberg
Wotao Yin
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+
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Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization
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2018
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Xianghui Mao
Kun Yuan
Yubin Hu
Yuantao Gu
Ali H. Sayed
Wotao Yin
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An Envelope for Davis-Yin Splitting and Strict Saddle Point Avoidance
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2018
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Liu Yan-li
Wotao Yin
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+
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Algorithm for Hamilton-Jacobi equations in density space via a generalized Hopf formula
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2018
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Yat Tin Chow
Wuchen Li
Stanley Osher
Wotao Yin
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+
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A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR
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2018
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Yilei Shi
Xiao Xiang Zhu
Wotao Yin
Richard Bamler
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Breaking the Span Assumption Yields Fast Finite-Sum Minimization
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2018
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Robert Hannah
Yanli Liu
Daniel O’Connor
Wotao Yin
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+
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Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
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2018
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Xiaohan Chen
Jialin Liu
Shuicheng Yan
Wotao Yin
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Multilevel Optimal Transport: a Fast Approximation of Wasserstein-1 distances
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2018
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Jialin Liu
Wotao Yin
Wuchen Li
Yat Tin Chow
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Markov Chain Block Coordinate Descent
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2018
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Tao Sun
Yuejiao Sun
Yangyang Xu
Wotao Yin
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+
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Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures
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2018
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Liu Yan-li
Yunbei Xu
Wotao Yin
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PDF
Chat
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A Fast and Accurate Basis Pursuit Denoising Algorithm With Application to Super-Resolving Tomographic SAR
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2018
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Yilei Shi
Xiao Xiang Zhu
Wotao Yin
Richard Bamler
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On Markov Chain Gradient Descent
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2018
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Tao Sun
Yuejiao Sun
Wotao Yin
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+
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LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
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2018
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Tianyi Chen
Georgios B. Giannakis
Tao Sun
Wotao Yin
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+
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AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity
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2018
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Yibo Zeng
Fei Feng
Wotao Yin
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Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters
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2018
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Huan Li
Cong Fang
Wotao Yin
Zhouchen Lin
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PDF
Chat
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On Unbounded Delays in Asynchronous Parallel Fixed-Point Algorithms
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2017
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Robert Hannah
Wotao Yin
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PDF
Chat
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On the Convergence of Asynchronous Parallel Iteration with Unbounded Delays
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2017
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Zhimin Peng
Yangyang Xu
Ming Yan
Wotao Yin
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PDF
Chat
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Online convolutional dictionary learning
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2017
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Jialin Liu
Cristina Garcia‐Cardona
Brendt Wohlberg
Wotao Yin
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+
PDF
Chat
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A Three-Operator Splitting Scheme and its Optimization Applications
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2017
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Damek Davis
Wotao Yin
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+
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Extrapush for Convex Smooth Decentralized Optimization Over Directed Networks
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2017
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Jinshan Zeng
Wotao Yin
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+
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Algorithm for Overcoming the Curse of Dimensionality For Time-Dependent Non-convex Hamilton–Jacobi Equations Arising From Optimal Control and Differential Games Problems
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2017
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Yat Tin Chow
Jérôme Darbon
Stanley Osher
Wotao Yin
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Decentralized Consensus Optimization With Asynchrony and Delays
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2017
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Tianyu Wu
Kun Yuan
Qing Ling
Wotao Yin
Ali H. Sayed
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PDF
Chat
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Faster Convergence Rates of Relaxed Peaceman-Rachford and ADMM Under Regularity Assumptions
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2017
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Damek Davis
Wotao Yin
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PDF
Chat
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A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update
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2017
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Yangyang Xu
Wotao Yin
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PDF
Chat
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Cyclic Coordinate-Update Algorithms for Fixed-Point Problems: Analysis and Applications
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2017
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Yat Tin Chow
Tianyu Wu
Wotao Yin
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Algorithm for Overcoming the Curse of Dimensionality for State-dependent Hamilton-Jacobi equations
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2017
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Yat Tin Chow
Jérôme Darbon
Stanley Osher
Wotao Yin
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Asynchronous Coordinate Descent under More Realistic Assumptions
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2017
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Tao Sun
Robert Hannah
Wotao Yin
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+
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More Iterations per Second, Same Quality -- Why Asynchronous Algorithms may Drastically Outperform Traditional Ones
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2017
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Robert Hannah
Wotao Yin
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+
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Proximal-Proximal-Gradient Method
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2017
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Ernest K. Ryu
Wotao Yin
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+
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Straggler Mitigation in Distributed Optimization Through Data Encoding
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2017
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Can Karakus
Yifan Sun
Suhas Diggavi
Wotao Yin
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+
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Fast non-coplanar beam orientation optimization based on group sparsity
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2017
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Daniel O’Connor
Yevgen Voronenko
Dan Nguyen
Wotao Yin
Ke Sheng
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Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers
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2017
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Yifan Chen
Yuejiao Sun
Wotao Yin
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A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs
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2017
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Yanli Liu
Ernest K. Ryu
Wotao Yin
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On the Convergence of Asynchronous Parallel Iteration with Arbitrary Delays.
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2016
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Zhimin Peng
Yangyang Xu
Ming Yan
Wotao Yin
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PDF
Chat
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Parallel Multi-Block ADMM with o(1 / k) Convergence
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2016
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Wei Deng
Ming‐Jun Lai
Zhimin Peng
Wotao Yin
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PDF
Chat
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Decentralized consensus optimization with asynchrony and delays
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2016
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Tianyu Wu
Kun Yuan
Qing Ling
Wotao Yin
Ali H. Sayed
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PDF
Chat
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Expander graph and communication-efficient decentralized optimization
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2016
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Yat Tin Chow
Wei Shi
Tianyu Wu
Wotao Yin
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PDF
Chat
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One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations
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2016
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Hui Zhang
Ming Yan
Wotao Yin
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PDF
Chat
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A fast patch-dictionary method for whole image recovery
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2016
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Yangyang Xu
Wotao Yin
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+
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Sparse recovery via differential inclusions
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2016
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Stanley Osher
Feng Ruan
Jiechao Xiong
Yuan Yao
Wotao Yin
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PDF
Chat
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On the Convergence of Decentralized Gradient Descent
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2016
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Kun Yuan
Qing Ling
Wotao Yin
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PDF
Chat
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Self Equivalence of the Alternating Direction Method of Multipliers
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2016
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Ming Yan
Wotao Yin
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PDF
Chat
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Convergence Rate Analysis of Several Splitting Schemes
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2016
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Damek Davis
Wotao Yin
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PDF
Chat
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Coordinate-friendly structures, algorithms and applications
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2016
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Zhimin Peng
Tianyu Wu
Yangyang Xu
Ming Yan
Wotao Yin
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TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods
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2016
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Brent Edmunds
Zhimin Peng
Wotao Yin
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On Nonconvex Decentralized Gradient Descent
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2016
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Jinshan Zeng
Wotao Yin
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+
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On Unbounded Delays in Asynchronous Parallel Fixed-Point Algorithms
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2016
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Robert Hannah
Wotao Yin
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+
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A Primer on Coordinate Descent Algorithms
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2016
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Hao-Jun Michael Shi
Shenyinying Tu
Yangyang Xu
Wotao Yin
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Expander Graph and Communication-Efficient Decentralized Optimization
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2016
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Yat Tin Chow
Wei Shi
Tianyu Wu
Wotao Yin
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+
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Cyclic Coordinate Update Algorithms for Fixed-Point Problems: Analysis and Applications
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2016
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Yat Tin Chow
Tianyu Wu
Wotao Yin
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+
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Decentralized Consensus Optimization with Asynchrony and Delays
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2016
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Tianyu Wu
Kun Yuan
Qing Ling
Wotao Yin
Ali H. Sayed
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Introduction
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2016
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Roland Glowinski
Stanley Osher
Wotao Yin
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PDF
Chat
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ARock: An Algorithmic Framework for Asynchronous Parallel Coordinate Updates
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2016
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Zhimin Peng
Yangyang Xu
Ming Yan
Wotao Yin
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PDF
Chat
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NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings
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2015
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Chinmay Hegde
Aswin C. Sankaranarayanan
Wotao Yin
Richard G. Baraniuk
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PDF
Chat
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EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
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2015
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Wei Shi
Qing Ling
Gang Wu
Wotao Yin
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Parallel matrix factorization for low-rank tensor completion
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2015
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Yangyang Xu
Ruru Hao
Wotao Yin
Zhixun Su
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+
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Global Convergence of ADMM in Nonconvex Nonsmooth Optimization
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2015
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Yu Wang
Wotao Yin
Jinshan Zeng
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+
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A Three-Operator Splitting Scheme and its Optimization Applications
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2015
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Damek Davis
Wotao Yin
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+
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Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection
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2015
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Zhimin Peng
Prudhvi Gurram
Heesung Kwon
Wotao Yin
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PDF
Chat
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Block Stochastic Gradient Iteration for Convex and Nonconvex Optimization
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2015
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Yangyang Xu
Wotao Yin
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PDF
Chat
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Necessary and Sufficient Conditions of Solution Uniqueness in 1-Norm Minimization
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2014
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Hui Zhang
Wotao Yin
Lizhi Cheng
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PDF
Chat
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Self Equivalence of the Alternating Direction Method of Multipliers
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2014
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Ming Yan
Wotao Yin
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PDF
Chat
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A dual algorithm for a class of augmented convex signal recovery models
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2014
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Hui Zhang
Lizhi Cheng
Wotao Yin
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Noisy Sparsity Recovery via Differential Equations
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2014
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Stanley Osher
Feng Ruan
Jiechao Xiong
Yuan Yao
Wotao Yin
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Sparsity Recovery via Differential Equations
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2014
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Stanley Osher
Feng Ruan
Jiechao Xiong
Yuan Yao
Wotao Yin
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+
PDF
Chat
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On the Linear Convergence of the ADMM in Decentralized Consensus Optimization
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2014
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Wei Shi
Qing Ling
Kun Yuan
Gang Wu
Wotao Yin
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Video Compressive Sensing for Dynamic MRI
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2014
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Jianing Shi
Wotao Yin
Aswin C. Sankaranarayanan
Richard G. Baraniuk
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+
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A globally convergent algorithm for nonconvex optimization based on block coordinate update
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2014
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Yangyang Xu
Wotao Yin
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+
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A fast patch-dictionary method for whole image recovery
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2014
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Yangyang Xu
Wotao Yin
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+
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Block stochastic gradient iteration for convex and nonconvex optimization
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2014
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Yangyang Xu
Wotao Yin
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+
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Faster convergence rates of relaxed Peaceman-Rachford and ADMM under regularity assumptions
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2014
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Damek Davis
Wotao Yin
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+
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EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
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2014
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Wei Shi
Qing Ling
Gang Wu
Wotao Yin
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+
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Democratic Representations
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2014
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Christoph Studer
Tom Goldstein
Wotao Yin
Richard G. Baraniuk
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+
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Video Compressive Sensing for Dynamic MRI
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2014
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Jianing Shi
Wotao Yin
Aswin C. Sankaranarayanan
Richard G. Baraniuk
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+
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Convergence rate analysis of several splitting schemes
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2014
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Damek Davis
Wotao Yin
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+
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On the o(1/k) Convergence and Parallelization of the Alternating Direction Method of Multipliers
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2013
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Wei Deng
Ming‐Jun Lai
Wotao Yin
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PDF
Chat
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An efficient augmented Lagrangian method with applications to total variation minimization
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2013
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Chengbo Li
Wotao Yin
Hong Jiang
Yin Zhang
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One condition for all: solution uniqueness and robustness of $\ell_1$-synthesis and $\ell_1$-analysis minimizations
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2013
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Hui Zhang
Ming Yan
Wotao Yin
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PDF
Chat
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Extracting respiratory signals from thoracic cone beam CT projections
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2013
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Hao Yan
Xiaoyu Wang
Wotao Yin
Tinsu Pan
Moiz Ahmad
Xuanqin Mou
Laura Cerviño
Xun Jia
Steve Jiang
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A dual algorithm for a class of augmented convex models
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2013
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Hui Zhang
Lizhi Cheng
Wotao Yin
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+
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Gradient methods for convex minimization: better rates under weaker conditions
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2013
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Hui Zhang
Wotao Yin
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+
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A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
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2013
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Yangyang Xu
Wotao Yin
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PDF
Chat
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Augmented $\ell_1$ and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm
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2013
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Ming‐Jun Lai
Wotao Yin
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On the Convergence of Decentralized Gradient Descent
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2013
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Kun Yuan
Qing Ling
Wotao Yin
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+
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Parallel Multi-Block ADMM with o(1/k) Convergence
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2013
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Wei Deng
Ming‐Jun Lai
Zhimin Peng
Wotao Yin
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Augmented l1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm. Revision 1
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2012
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Ming‐Jun Lai
Wotao Yin
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PDF
Chat
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A feasible method for optimization with orthogonality constraints
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2012
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Zaiwen Wen
Wotao Yin
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PDF
Chat
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A Block Coordinate Descent Method for Multi-Convex Optimization with Applications to Nonnegative Tensor Factorization and Completion
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2012
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Yangyang Xu
Wotao Yin
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PDF
Chat
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Error Forgetting of Bregman Iteration
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2012
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Wotao Yin
Stanley Osher
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PDF
Chat
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An alternating direction algorithm for matrix completion with nonnegative factors
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2012
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Yangyang Xu
Wotao Yin
Zaiwen Wen
Yin Zhang
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On the convergence of an active-set method for ℓ<sub>1</sub>minimization
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2011
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Zaiwen Wen
Wotao Yin
Hongchao Zhang
Donald Goldfarb
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Copula density estimation by total variation penalized likelihood with linear equality constraints
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2011
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Leming Qu
Wotao Yin
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PDF
Chat
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Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks
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2011
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Jia Meng
Wotao Yin
Husheng Li
Ekram Hossain
Zhu Han
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+
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Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
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2011
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Stanley Osher
Yu M
Bin Dong
Wotao Yin
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PDF
Chat
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Alternating direction augmented Lagrangian methods for semidefinite programming
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2010
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Zaiwen Wen
Donald Goldfarb
Wotao Yin
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A Fast Hybrid Algorithm for Large-Scale l 1 -Regularized Logistic Regression
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2010
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Jianing Shi
Wotao Yin
Stanley Osher
Paul Sajda
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A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data
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2010
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Junfeng Yang
Yin Zhang
Wotao Yin
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PDF
Chat
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Fast linearized Bregman iteration for compressive sensing and sparse denoising
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2010
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Bin Dong
Yu Mao
Stanley Osher
Wotao Yin
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Analysis and Generalizations of the Linearized Bregman Method
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2010
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Wotao Yin
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PDF
Chat
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Sparse Signal Reconstruction via Iterative Support Detection
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2010
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Yilun Wang
Wotao Yin
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PDF
Chat
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Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks
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2010
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Jia Meng
Wotao Yin
Husheng Li
Ekram Houssain
Zhu Han
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PDF
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Fixed-Point Continuation Applied to Compressed Sensing: Implementation and Numerical Experiments
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2009
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Elaine Hale
Wotao Yin
Yin Zhang
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PDF
Chat
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A Codimension Two CR Singular Submanifold That Is Formally Equivalent to a Symmetric Quadric
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2009
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Xiao‐Jun Huang
Wotao Yin
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Parametric Maximum Flow Algorithms for Fast Total Variation Minimization
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2009
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Donald Goldfarb
Wotao Yin
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+
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A Matlab Implementation of a Flat Norm Motivated Polygonal Edge Matching Method using a Decomposition of Boundary into Four 1-Dimensional Currents
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2008
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Simon P. Morgan
Wotao Yin
Kevin R. Vixie
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Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
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2008
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Wotao Yin
Stanley Osher
Donald Goldfarb
Jérôme Darbon
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Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence
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2008
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Elaine Hale
Wotao Yin
Yin Zhang
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PDF
Chat
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Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
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2008
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Stanley Osher
Yu Mao
Bin Dong
Wotao Yin
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A Matlab Implementation of a Flat Norm Motivated Polygonal Edge Matching Method using a Decomposition of Boundary into Four 1-Dimensional Currents
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2008
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Simon P. Morgan
Wotao Yin
Kevin R. Vixie
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A Fixed-Point Continuation Method for L_1-Regularization with Application to Compressed Sensing
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2007
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Elaine Hale
Wotao Yin
Yin Zhang
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PDF
Chat
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Slope and $G$-set characterization of set-valued functions and applications to non-differentiable optimization problems
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2005
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Stanley Osher
Otmar Scherzer
Wotao Yin
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Chat
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An Iterative Regularization Method for Total Variation-Based Image Restoration
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2005
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Stanley Osher
Martin Burger
Donald Goldfarb
Jinjun Xu
Wotao Yin
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