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Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment

Nov 16, 2020
Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong


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Learning to Beamform in Heterogeneous Massive MIMO Networks

Nov 08, 2020
Minghe Zhu, Tsung-Hui Chang, Mingyi Hong

* 28 pages,12 figures, submitted to in IEEE transactions on signal processing 

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A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic

Jul 10, 2020
Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang


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Understanding Gradient Clipping in Private SGD: A Geometric Perspective

Jun 27, 2020
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong


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Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds

Jun 24, 2020
Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee


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On the Divergence of Decentralized Non-Convex Optimization

Jun 20, 2020
Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun

* 34 pages 

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FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data

May 26, 2020
Xinwei Zhang, Mingyi Hong, Sairaj Dhople, Wotao Yin, Yang Liu


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Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond

Jan 14, 2020
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu

* Submitted to IEEE Signal Processing Magazine Special Issue on Distributed, Streaming Machine Learning; THC, MH, HTW contributed equally 

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A Communication Efficient Vertical Federated Learning Framework

Dec 27, 2019
Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang


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Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms

Dec 16, 2019
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya


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ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization

Oct 16, 2019
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox


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Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach

Oct 13, 2019
Haoran Sun, Songtao Lu, Mingyi Hong


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On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost

Jul 14, 2019
Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang

* 41 pages 

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SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems

Jul 09, 2019
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong


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Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Jun 10, 2019
Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin

* Accepted by IJCAI 2019, the 28th International Joint Conference on Artificial Intelligence 

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Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms

Jun 06, 2019
Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong


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Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications

Feb 21, 2019
Songtao Lu, Ioannis Tsaknakis, Mingyi Hong, Yongxin Chen


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On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator

Jan 11, 2019
Qi Cai, Mingyi Hong, Yongxin Chen, Zhaoran Wang


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Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

Oct 27, 2018
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong

* to appear in NIPS 2018 (21 pages, 4 figures) 

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On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization

Aug 08, 2018
Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong


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Zeroth Order Nonconvex Multi-Agent Optimization over Networks

May 07, 2018
Davood Hajinezhad, Mingyi Hong, Alfredo Garcia


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Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data

Apr 24, 2018
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong


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On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions

Feb 28, 2018
Songtao Lu, Mingyi Hong, Zhengdao Wang


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On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function

Feb 14, 2018
Xingguo Li, Haoming Jiang, Jarvis Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao


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On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization

Nov 22, 2017
Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong

* Accepted by JLMR 

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Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering

Jun 13, 2017
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong

* Final ICML2017 version. Main paper: 10 pages; Supplementary material: 4 pages 

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Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis

May 04, 2017
Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So


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A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality

Mar 24, 2017
Songtao Lu, Mingyi Hong, Zhengdao Wang

* IEEE Transactions on Signal Processing (to appear) 

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NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization

Nov 07, 2016
Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang

* 35 pages, 2 figures 

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