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An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods


Nov 16, 2022
Yanli Liu, Kaiqing Zhang, Tamer Başar, Wotao Yin

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* Advances in Neural Information Processing Systems 33 (2020): 7624-7636 
* NeurIPS 2020 (improve the proof of Lemma B.1 and Proposition G.1.) 

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Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization


Nov 14, 2022
Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen

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* Submitted to conference in Oct 2022 

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On Representing Mixed-Integer Linear Programs by Graph Neural Networks


Oct 19, 2022
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


Oct 14, 2022
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan

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* NeurIPS 2022 

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On Representing Linear Programs by Graph Neural Networks


Sep 25, 2022
Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin

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Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression


Jun 08, 2022
Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan

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FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting


May 24, 2022
Tian Zhou, Ziqing Ma, Xue wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin

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A Novel Convergence Analysis for Algorithms of the Adam Family


Dec 07, 2021
Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

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* In NeurIPS OPT Workshop 2021. arXiv admin note: substantial text overlap with arXiv:2104.14840 

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BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning


Nov 08, 2021
Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin

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Hyperparameter Tuning is All You Need for LISTA


Oct 29, 2021
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin

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* Accepted at NeurIPS 2021 

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