Chenyu Wei

Ph.D

Computer Science Department, University of Southern California

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My research focuses on developing efficient online learning algorithms with provable guarantees.

Papers16 papers

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Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds

Emamjomeh-Zadeh Ehsan,Wei Chen-Yu,Luo Haipeng,Kempe David

Bibtex

Linear Last-iterate Convergence for Matrix Games and Stochastic Games

Chung-Wei Lee,Haipeng Luo,Chen-Yu Wei, Mengxiao Zhang

Bibtex

Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs

Lee Chung-Wei,Luo Haipeng,Wei Chen-Yu,Zhang Mengxiao

NeurIPS, (2020)

EIBibtex

A Model-free Learning Algorithm for Infinite-horizon Average-reward MDPs with Near-optimal Regret

Jafarnia-Jahromi Mehdi,Wei Chen-Yu, Jain Rahul,Luo Haipeng

Bibtex

Taking a hint: How to leverage loss predictors in contextual bandits

Wei Chen-Yu,Luo Haipeng,Agarwal Alekh

COLT, pp.3583-3634, (2020)

Cited by1EIBibtex

Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition

Liyu Chen,Haipeng Luo,Chen-Yu Wei

Bibtex

Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously

Julian Zimmert,Haipeng Luo,Chen-Yu Wei

International Conference on Machine Learning, (2019): 7683-7692

Cited by13EIBibtex

A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free

Yifang Chen,Chung-Wei Lee,Haipeng Luo,Chen-Yu Wei

COLT, (2019): 696-726

Cited by19EIBibtex

Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case

Alina Beygelzimer,Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari,Chen-Yu Wei,Chicheng Zhang

International Conference on Machine Learning, (2019): 624-633

Cited by2EIBibtex

Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes

Wei Chen-Yu, Jafarnia-Jahromi Mehdi,Luo Haipeng, Sharma Hiteshi, Jain Rahul

ICML, pp.10170-10180, (2019)

Cited by8EIBibtex

Improved Path-length Regret Bounds for Bandits

Sébastien Bubeck,Yuanzhi Li,Haipeng Luo,Chen-Yu Wei

COLT, (2019): 508-528

Cited by15EIBibtex

Efficient Contextual Bandits in Non-stationary Worlds

Haipeng Luo,Chen-Yu Wei,Alekh Agarwal,John Langford

conference on learning theory, pp.1739-1776, (2018)

Cited by32Bibtex

More Adaptive Algorithms for Adversarial Bandits

Chen-Yu Wei,Haipeng Luo

COLT, (2018): 1263-1291

Cited by31EIBibtex

Efficient Online Portfolio with Logarithmic Regret

Haipeng Luo,Chen-Yu Wei,Kai Zheng

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 8235-8245

Cited by9EIBibtex

Online Reinforcement Learning in Stochastic Games

Chen-Yu Wei, Yi-Te Hong,Chi-Jen Lu

neural information processing systems, (2017): 4994-5004

Cited by20EIBibtex

Tracking the Best Expert in Non-stationary Stochastic Environments

Chen-Yu Wei, Yi-Te Hong,Chi-Jen Lu

neural information processing systems, (2016)

Cited by23EIBibtex

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Chenyu WeiBinding

Papers16 papers

Chenyu Wei