Chen-Yu Wei

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Haipeng LuoAssociate Professor, University of Southern CaliforniaVerified email at usc.edu
Chung-Wei LeeUniversity of Southern CaliforniaVerified email at usc.edu
Julian ZimmertGoogle ResearchVerified email at google.com
Mengxiao ZhangPh.D. student, University of Southern CaliforniaVerified email at usc.edu
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Alekh AgarwalGoogleVerified email at google.com
Chi-Jen LuResearch Fellow, Institute of Information Science, Academia SinicaVerified email at iis.sinica.edu.tw
Christoph DannResearch Scientist, GoogleVerified email at google.com
Rahul JainProfessor of ECE, CS and ISE, University of Southern CaliforniaVerified email at usc.edu
Mehdi Jafarnia JahromiDeepMindVerified email at google.com
Liyu ChenUniversity of Southern CaliforniaVerified email at usc.edu
Kaiqing ZhangAssistant Professor, University of Maryland, College ParkVerified email at umd.edu
Dongsheng DingUniversity of PennsylvaniaVerified email at seas.upenn.edu
Weiqiang ZhengYale UniversityVerified email at yale.edu
Hiteshi SharmaMicrosoftVerified email at microsoft.com
Yang CaiAssociate Professor of Computer Science and Economics, Yale UniversityVerified email at yale.edu
Alberto BiettiFlatiron Institute, Simons FoundationVerified email at nyu.edu
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Mihailo R. JovanovicProfessor of Electrical and Computer Engineering, University of Southern CaliforniaVerified email at usc.edu

Chen-Yu Wei

Assistant Professor, University of Virginia

Verified email at virginia.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
More adaptive algorithms for adversarial bandits CY Wei, H Luo Conference On Learning Theory, 1263-1291, 2018	155	2018
Online reinforcement learning in stochastic games CY Wei, YT Hong, CJ Lu Advances in Neural Information Processing Systems 30, 2017	130	2017
A new algorithm for non-stationary contextual bandits: Efficient, optimal and parameter-free Y Chen, CW Lee, H Luo, CY Wei Conference on Learning Theory, 696-726, 2019	123	2019
Efficient contextual bandits in non-stationary worlds H Luo, CY Wei, A Agarwal, J Langford Conference On Learning Theory, 1739-1776, 2018	121	2018
Linear last-iterate convergence in constrained saddle-point optimization CY Wei, CW Lee, M Zhang, H Luo International Conference on Learning Representations, 2021	108*	2021
Last-iterate convergence of decentralized optimistic gradient descent/ascent in infinite-horizon competitive Markov games CY Wei, CW Lee, M Zhang, H Luo Conference on learning theory, 4259-4299, 2021	91	2021
Model-free reinforcement learning in infinite-horizon average-reward markov decision processes CY Wei, MJ Jahromi, H Luo, H Sharma, R Jain International conference on machine learning, 10170-10180, 2020	91	2020
Non-stationary reinforcement learning without prior knowledge: An optimal black-box approach CY Wei, H Luo Conference on learning theory, 4300-4354, 2021	87	2021
Beating stochastic and adversarial semi-bandits optimally and simultaneously J Zimmert, H Luo, CY Wei International Conference on Machine Learning, 7683-7692, 2019	83	2019
Tracking the best expert in non-stationary stochastic environments CY Wei, YT Hong, CJ Lu Advances in neural information processing systems 29, 2016	67	2016
Independent policy gradient for large-scale markov potential games: Sharper rates, function approximation, and game-agnostic convergence D Ding, CY Wei, K Zhang, M Jovanovic International Conference on Machine Learning, 5166-5220, 2022	62	2022
Efficient online portfolio with logarithmic regret H Luo, CY Wei, K Zheng Advances in neural information processing systems 31, 2018	51	2018
Improved path-length regret bounds for bandits S Bubeck, Y Li, H Luo, CY Wei Conference On Learning Theory, 508-528, 2019	50	2019
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and mdps CW Lee, H Luo, CY Wei, M Zhang Advances in neural information processing systems 33, 15522-15533, 2020	49	2020
Learning infinite-horizon average-reward mdps with linear function approximation CY Wei, MJ Jahromi, H Luo, R Jain International Conference on Artificial Intelligence and Statistics, 3007-3015, 2021	48	2021
Federated residual learning A Agarwal, J Langford, CY Wei arXiv preprint arXiv:2003.12880, 2020	46	2020
Achieving near instance-optimality and minimax-optimality in stochastic and adversarial linear bandits simultaneously CW Lee, H Luo, CY Wei, M Zhang, X Zhang International Conference on Machine Learning, 6142-6151, 2021	43	2021
Impossible tuning made possible: A new expert algorithm and its applications L Chen, H Luo, CY Wei Conference on Learning Theory, 1216-1259, 2021	40	2021
A model selection approach for corruption robust reinforcement learning CY Wei, C Dann, J Zimmert International Conference on Algorithmic Learning Theory, 1043-1096, 2022	39	2022
Policy optimization in adversarial mdps: Improved exploration via dilated bonuses H Luo, CY Wei, CW Lee Advances in Neural Information Processing Systems 34, 22931-22942, 2021	39	2021

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