Chen-Yu Wei - RankMe

96 papers A* 35A 2B 4Journal 52Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Achieving Optimal Static and Dynamic Regret Simultaneously in Bandits with Deterministic Losses. CoRR Jian Qian, Chen-Yu Wei
2026	J	`jnl`	Is Online Linear Optimization Sufficient for Strategic Robustness? CoRR Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2026	J	`jnl`	On the Complexity of Offline Reinforcement Learning with Q CoRR Haolin Liu, Braham Snyder, Chen-Yu Wei
2026	J	`jnl`	Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning. CoRR Haolin Liu, Dian Yu, Sidi Lu, Yujun Zhou, Rui Liu, Zhenwen Liang, Haitao Mi, Chen-Yu Wei, Dong Yu
2025	J	`jnl`	An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction. CoRR Tim van Erven, Jack J. Mayo, Julia Olkhovskaya, Chen-Yu Wei
2025	J	`jnl`	An Improved Model-Free Decision-Estimation Coefficient with Applications in Adversarial MDPs. CoRR Haolin Liu, Chen-Yu Wei, Julian Zimmert
2025	A*	`conf`	Decision Making in Hybrid Environments: A Model Aggregation Approach. COLT Haolin Liu, Chen-Yu Wei, Julian Zimmert
2025	J	`jnl`	Decision Making in Hybrid Environments: A Model Aggregation Approach. CoRR Haolin Liu, Chen-Yu Wei, Julian Zimmert
2025	J	`jnl`	From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications. CoRR Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2025	J	`jnl`	Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games. CoRR Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2024	A*	`conf`	Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback. NeurIPS Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, Julian Zimmert
2024	J	`jnl`	Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback. CoRR Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, Julian Zimmert
2024	A*	`conf`	Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification. NeurIPS Haolin Liu, Artin Tajdini, Andrew Wagenmaker, Chen-Yu Wei
2024	J	`jnl`	Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification. CoRR Haolin Liu, Artin Tajdini, Andrew Wagenmaker, Chen-Yu Wei
2024	A*	`conf`	How Does Variance Shape the Regret in Contextual Bandits? NeurIPS Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei
2024	J	`jnl`	How Does Variance Shape the Regret in Contextual Bandits? CoRR Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei
2024	A	`conf`	Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. AISTATS Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2024	J	`jnl`	Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. CoRR Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2024	A*	`conf`	Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data. COLT Zeyu Jia, Alexander Rakhlin, Ayush Sekhari, Chen-Yu Wei
2024	J	`jnl`	Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data. CoRR Zeyu Jia, Alexander Rakhlin, Ayush Sekhari, Chen-Yu Wei
2024	A*	`conf`	On Tractable Φ-Equilibria in Non-Concave Games. NeurIPS Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2024	A*	`conf`	Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback. ICLR Haolin Liu, Chen-Yu Wei, Julian Zimmert
2024	J	`jnl`	Tractable Local Equilibria in Non-Concave Games. CoRR Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2023	A*	`conf`	A Blackbox Approach to Best of Both Worlds in Bandits and Beyond. COLT Christoph Dann, Chen-Yu Wei, Julian Zimmert
2023	J	`jnl`	A Blackbox Approach to Best of Both Worlds in Bandits and Beyond. CoRR Christoph Dann, Chen-Yu Wei, Julian Zimmert
2023	B	`conf`	A Unified Algorithm for Stochastic Path Problems. ALT Christoph Dann, Chen-Yu Wei, Julian Zimmert
2023	A*	`conf`	Best of Both Worlds Policy Optimization. ICML Christoph Dann, Chen-Yu Wei, Julian Zimmert
2023	J	`jnl`	Best of Both Worlds Policy Optimization. CoRR Christoph Dann, Chen-Yu Wei, Julian Zimmert
2023	A*	`conf`	Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits. NeurIPS Haolin Liu, Chen-Yu Wei, Julian Zimmert
2023	J	`jnl`	Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits. CoRR Haolin Liu, Chen-Yu Wei, Julian Zimmert
2023	A*	`conf`	First- and Second-Order Bounds for Adversarial Linear Contextual Bandits. NeurIPS Julia Olkhovskaya, Jack J. Mayo, Tim van Erven, Gergely Neu, Chen-Yu Wei
2023	J	`jnl`	First- and Second-Order Bounds for Adversarial Linear Contextual Bandits. CoRR Julia Olkhovskaya, Jack J. Mayo, Tim van Erven, Gergely Neu, Chen-Yu Wei
2023	A*	`conf`	Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. NeurIPS Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
2023	J	`jnl`	Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. CoRR Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
2023	A*	`conf`	No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions. NeurIPS Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo
2023	J	`jnl`	No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions. CoRR Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo
2023	A*	`conf`	Refined Regret for Adversarial MDPs with Linear Function Approximation. ICML Yan Dai, Haipeng Luo, Chen-Yu Wei, Julian Zimmert
2023	J	`jnl`	Refined Regret for Adversarial MDPs with Linear Function Approximation. CoRR Yan Dai, Haipeng Luo, Chen-Yu Wei, Julian Zimmert
2023	J	`jnl`	Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback. CoRR Haolin Liu, Chen-Yu Wei, Julian Zimmert
2023	A*	`conf`	Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback. NeurIPS Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2023	J	`jnl`	Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games. CoRR Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2022	B	`conf`	A Model Selection Approach for Corruption Robust Reinforcement Learning. ALT Chen-Yu Wei, Christoph Dann, Julian Zimmert
2022	J	`jnl`	A Unified Algorithm for Stochastic Path Problems. CoRR Christoph Dann, Chen-Yu Wei, Julian Zimmert
2022	B	`conf`	Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure. ALT Hsu Kao, Chen-Yu Wei, Vijay G. Subramanian
2022	A*	`conf`	Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. ICML Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic
2022	J	`jnl`	Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. CoRR Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic
2022	A*	`conf`	Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning. ICML Alberto Bietti, Chen-Yu Wei, Miroslav Dudík, John Langford, Zhiwei Steven Wu
2022	J	`jnl`	Personalization Improves Privacy-Accuracy Tradeoffs in Federated Optimization. CoRR Alberto Bietti, Chen-Yu Wei, Miroslav Dudík, John Langford, Zhiwei Steven Wu
2021	J	`jnl`	A Model Selection Approach for Corruption Robust Reinforcement Learning. CoRR Chen-Yu Wei, Christoph Dann, Julian Zimmert
2021	A*	`conf`	Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. ICML Chung-wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang
2021	J	`jnl`	Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. CoRR Chung-wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang
2021	B	`conf`	Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds. ALT Ehsan Emamjomeh-Zadeh, Chen-Yu Wei, Haipeng Luo, David Kempe
2021	J	`jnl`	Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure. CoRR Hsu Kao, Chen-Yu Wei, Vijay G. Subramanian
2021	A*	`conf`	Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. COLT Liyu Chen, Haipeng Luo, Chen-Yu Wei
2021	J	`jnl`	Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. CoRR Liyu Chen, Haipeng Luo, Chen-Yu Wei
2021	A*	`conf`	Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games. COLT Chen-Yu Wei, Chung-wei Lee, Mengxiao Zhang, Haipeng Luo
2021	J	`jnl`	Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games. CoRR Chen-Yu Wei, Chung-wei Lee, Mengxiao Zhang, Haipeng Luo
2021	A	`conf`	Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. AISTATS Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain
2021	A*	`conf`	Linear Last-iterate Convergence in Constrained Saddle-point Optimization. ICLR Chen-Yu Wei, Chung-wei Lee, Mengxiao Zhang, Haipeng Luo
2021	A*	`conf`	Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. COLT Liyu Chen, Haipeng Luo, Chen-Yu Wei
2021	J	`jnl`	Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach. CoRR Chen-Yu Wei, Haipeng Luo
2021	A*	`conf`	Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach. COLT Chen-Yu Wei, Haipeng Luo
2021	A*	`conf`	Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses. NeurIPS Haipeng Luo, Chen-Yu Wei, Chung-wei Lee
2021	J	`jnl`	Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses. CoRR Haipeng Luo, Chen-Yu Wei, Chung-wei Lee
2020	J	`jnl`	Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds. CoRR Ehsan Emamjomeh-Zadeh, Chen-Yu Wei, Haipeng Luo, David Kempe
2020	A*	`conf`	Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs. NeurIPS Chung-wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang
2020	J	`jnl`	Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs. CoRR Chung-wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang
2020	J	`jnl`	Federated Residual Learning. CoRR Alekh Agarwal, John Langford, Chen-Yu Wei
2020	J	`jnl`	Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. CoRR Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain
2020	J	`jnl`	Linear Last-iterate Convergence for Matrix Games and Stochastic Games. CoRR Chung-wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang
2020	J	`jnl`	Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. CoRR Liyu Chen, Haipeng Luo, Chen-Yu Wei
2020	A*	`conf`	Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. ICML Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain
2020	A*	`conf`	Taking a hint: How to leverage loss predictors in contextual bandits? COLT Chen-Yu Wei, Haipeng Luo, Alekh Agarwal
2020	J	`jnl`	Taking a hint: How to leverage loss predictors in contextual bandits? CoRR Chen-Yu Wei, Haipeng Luo, Alekh Agarwal
2019	A*	`conf`	A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free. COLT Yifang Chen, Chung-wei Lee, Haipeng Luo, Chen-Yu Wei
2019	J	`jnl`	A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free. CoRR Yifang Chen, Chung-wei Lee, Haipeng Luo, Chen-Yu Wei
2019	A*	`conf`	Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information. COLT Peter Auer, Yifang Chen, Pratik Gajane, Chung-wei Lee, Haipeng Luo, Ronald Ortner, Chen-Yu Wei
2019	J	`jnl`	Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator. CoRR James A. Preiss, Sébastien M. R. Arnold, Chen-Yu Wei, Marius Kloft
2019	A*	`conf`	Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. ICML Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
2019	J	`jnl`	Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. CoRR Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
2019	A*	`conf`	Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously. ICML Julian Zimmert, Haipeng Luo, Chen-Yu Wei
2019	J	`jnl`	Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously. CoRR Julian Zimmert, Haipeng Luo, Chen-Yu Wei
2019	A*	`conf`	Improved Path-length Regret Bounds for Bandits. COLT Sébastien Bubeck, Yuanzhi Li, Haipeng Luo, Chen-Yu Wei
2019	J	`jnl`	Improved Path-length Regret Bounds for Bandits. CoRR Sébastien Bubeck, Yuanzhi Li, Haipeng Luo, Chen-Yu Wei
2019	J	`jnl`	Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. CoRR Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain
2018	A*	`conf`	Efficient Contextual Bandits in Non-stationary Worlds. COLT Haipeng Luo, Chen-Yu Wei, Alekh Agarwal, John Langford
2018	A*	`conf`	Efficient Online Portfolio with Logarithmic Regret. NeurIPS Haipeng Luo, Chen-Yu Wei, Kai Zheng
2018	J	`jnl`	Efficient Online Portfolio with Logarithmic Regret. CoRR Haipeng Luo, Chen-Yu Wei, Kai Zheng
2018	A*	`conf`	More Adaptive Algorithms for Adversarial Bandits. COLT Chen-Yu Wei, Haipeng Luo
2018	J	`jnl`	More Adaptive Algorithms for Adversarial Bandits. CoRR Chen-Yu Wei, Haipeng Luo
2018	J	`jnl`	Multi-Cell Cooperative Scheduling for Network Utility Maximization With User Equipment Side Interference Cancellation. IEEE Trans. Wirel. Commun. Chen-Yu Wei, Wanjiun Liao
2017	—	`conf`	Online Reinforcement Learning in Stochastic Games. NIPS Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu
2017	J	`jnl`	Online Reinforcement Learning in Stochastic Games. CoRR Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu
2017	J	`jnl`	Tracking the Best Expert in Non-stationary Stochastic Environments. CoRR Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu
2016	—	`conf`	Adaptive measurement for energy efficient mobility management in ultra-dense small cell networks. ICC Hsu Kao, Chen-Yu Wei, Hsiao-Ching Lin, Yi-Han Chiang, Wanjiun Liao
2016	—	`conf`	Tracking the Best Expert in Non-stationary Stochastic Environments. NIPS Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu