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Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale


May 26, 2021
Zhaoxia, Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie, Yang, Hector Yuen, Jianyu Huang, Daya Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Satish Nadathur, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy


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Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism


Oct 18, 2020
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney

* 17 pages, 8 figures 

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Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning


Aug 23, 2020
Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang

* 45 pages; initial draft submitted in Feb, 2020 

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Beyond $\mathcal{O}(\sqrt{T})$ Regret for Constrained Online Optimization: Gradual Variations and Mirror Prox


Jun 22, 2020
Shuang Qiu, Xiaohan Wei


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Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions


Mar 02, 2020
Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang


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Provably Efficient Safe Exploration via Primal-Dual Policy Optimization


Mar 01, 2020
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanović

* 41 pages 

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Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization


Aug 24, 2019
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanović

* 37 pages, 9 figures 

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Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis


Aug 14, 2019
Shuang Qiu, Xiaohan Wei, Zhuoran Yang


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Fast multi-agent temporal-difference learning via homotopy stochastic primal-dual optimization


Aug 07, 2019
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanović

* 37 pages, 9 figures 

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Online Convex Optimization with Stochastic Constraints


Aug 12, 2017
Hao Yu, Michael J. Neely, Xiaohan Wei

* This paper extends our own ArXiv reports arXiv:1604.02218 (by considering more general stochastic functional constraints) and arXiv:1702.04783 (by relaxing a deterministic Slater-type assumption to a weaker stochastic Slater assumption; refining proofs; and providing high probability performance guarantees). See Introduction section (especially footnotes 1 and 2) for more details of distinctions 

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