Haipeng Luo - RankMe

216 papers A* 77A 8B 2Journal 123Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Short Note on a Variant of the Squint Algorithm. CoRR Haipeng Luo
2026	J	`jnl`	Adversarial Learning in Games with Bandit Feedback: Logarithmic Pure-Strategy Maximin Regret. CoRR Shinji Ito, Haipeng Luo, Arnab Maiti, Taira Tsuchiya, Yue Wu
2026	J	`jnl`	Calibeating Made Simple. CoRR Yurong Chen, Zhiyi Huang, Michael I. Jordan, Haipeng Luo
2026	J	`jnl`	Interaction-Grounded Learning for Contextual Markov Decision Processes with Personalized Feedback. CoRR Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
2026	J	`jnl`	Is Online Linear Optimization Sufficient for Strategic Robustness? CoRR Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2026	J	`jnl`	One Good Source is All You Need: Near-Optimal Regret for Bandits under Heterogeneous Noise. CoRR Aadirupa Saha, Amith Bhat, Haipeng Luo
2026	J	`jnl`	Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation. CoRR Junyan Liu, Haipeng Luo, Zihan Zhang, Lillian J. Ratliff
2026	J	`jnl`	Scale-Invariant Fast Convergence in Games. CoRR Taira Tsuchiya, Haipeng Luo, Shinji Ito
2026	J	`jnl`	Swap Regret Minimization Through Response-Based Approachability. CoRR Ioannis Anagnostides, Gabriele Farina, Maxwell Fishelson, Haipeng Luo, Jon Schneider
2025	J	`jnl`	Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback. CoRR Shinji Ito, Kevin Jamieson, Haipeng Luo, Arnab Maiti, Taira Tsuchiya
2025	J	`jnl`	AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent. CoRR Haipeng Luo, Huawen Feng, Qingfeng Sun, Can Xu, Kai Zheng, Yufei Wang, Tao Yang, Han Hu, Yansong Tang, Di Wang
2025	A*	`conf`	Alternating Regret for Online Convex Optimization. COLT Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang
2025	J	`jnl`	Alternating Regret for Online Convex Optimization. CoRR Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang
2025	J	`jnl`	Cap4Video++: Enhancing Video Understanding With Auxiliary Captions. IEEE Trans. Pattern Anal. Mach. Intell. Wenhao Wu, Xiaohan Wang, Haipeng Luo, Jingdong Wang, Yi Yang, Wanli Ouyang
2025	J	`jnl`	Comparator-Adaptive Φ-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games. CoRR Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang
2025	A*	`conf`	Contextual Linear Bandits with Delay as Payoff. ICML Mengxiao Zhang, Yingfei Wang, Haipeng Luo
2025	J	`jnl`	Contextual Linear Bandits with Delay as Payoff. CoRR Mengxiao Zhang, Yingfei Wang, Haipeng Luo
2025	A*	`conf`	Corrupted Learning Dynamics in Games. COLT Taira Tsuchiya, Shinji Ito, Haipeng Luo
2025	J	`jnl`	Efficient Swap Multicalibration of Elicitable Properties. CoRR Lunjia Hu, Haipeng Luo, Spandan Senapati, Vatsal Sharan
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`	Group Distributionally Robust Optimization with Flexible Sample Queries. CoRR Haomin Bai, Dingzhi Yu, Shuai Li, Haipeng Luo, Lijun Zhang
2025	J	`jnl`	Improved Bounds for Swap Multicalibration and Swap Omniprediction. CoRR Haipeng Luo, Spandan Senapati, Vatsal Sharan
2025	J	`jnl`	Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality. CoRR Junyan Liu, Ziyun Chen, Kun Wang, Haipeng Luo, Lillian J. Ratliff
2025	A*	`conf`	Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback. COLT Shinji Ito, Haipeng Luo, Taira Tsuchiya, Yue Wu
2025	J	`jnl`	Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback. CoRR Shinji Ito, Haipeng Luo, Taira Tsuchiya, Yue Wu
2025	A*	`conf`	Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. ICLR Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, Weiqiang Zheng
2025	J	`jnl`	On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games. CoRR Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, 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
2025	J	`jnl`	Reinforcement Learning from Adversarial Preferences in Tabular MDPs. CoRR Taira Tsuchiya, Shinji Ito, Haipeng Luo
2025	J	`jnl`	Simultaneous Swap Regret Minimization via KL-Calibration. CoRR Haipeng Luo, Spandan Senapati, Vatsal Sharan
2025	J	`jnl`	S²HGC: An End-to-End Spectral-Spatial Hypergraph Convolutional Network for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. Kaixiong Wu, Mingwei Wang, Haipeng Luo, Maolin Chen, Yujie Xu, Wei Liu
2025	A*	`conf`	WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. ICLR Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, Dongmei Zhang
2024	A*	`conf`	ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints. ICML Akhil Agnihotri, Rahul Jain, Haipeng Luo
2024	J	`jnl`	Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena. CoRR Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
2024	A*	`conf`	Contextual Multinomial Logit Bandits with General Value Functions. NeurIPS Mengxiao Zhang, Haipeng Luo
2024	J	`jnl`	Contextual Multinomial Logit Bandits with General Value Functions. CoRR Mengxiao Zhang, Haipeng Luo
2024	J	`jnl`	Corrupted Learning Dynamics in Games. CoRR Taira Tsuchiya, Shinji Ito, Haipeng Luo
2024	A*	`conf`	Efficient Contextual Bandits with Uninformed Feedback Graphs. ICML Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
2024	J	`jnl`	Efficient Contextual Bandits with Uninformed Feedback Graphs. CoRR Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
2024	A*	`conf`	Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms. NeurIPS Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, Weiqiang Zheng
2024	J	`jnl`	Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms. CoRR Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, Weiqiang Zheng
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`	Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback. ICML Asaf Cassel, Haipeng Luo, Aviv Rosenberg, Dmitry Sotnikov
2024	J	`jnl`	Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback. CoRR Asaf B. Cassel, Haipeng Luo, Aviv Rosenberg, Dmitry Sotnikov
2024	A*	`conf`	No-Regret Learning for Fair Multi-Agent Social Welfare Optimization. NeurIPS Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo
2024	J	`jnl`	No-Regret Learning for Fair Multi-Agent Social Welfare Optimization. CoRR Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo
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`	Online Learning in Contextual Second-Price Pay-Per-Click Auctions. AISTATS Mengxiao Zhang, Haipeng Luo
2024	A*	`conf`	Optimal Multiclass U-Calibration Error and Beyond. NeurIPS Haipeng Luo, Spandan Senapati, Vatsal Sharan
2024	J	`jnl`	Optimal Multiclass U-Calibration Error and Beyond. CoRR Haipeng Luo, Spandan Senapati, Vatsal Sharan
2024	A*	`conf`	Provably Efficient Interactive-Grounded Learning with Personalized Reward. NeurIPS Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
2024	J	`jnl`	Provably Efficient Interactive-Grounded Learning with Personalized Reward. CoRR Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
2024	J	`jnl`	Tractable Local Equilibria in Non-Concave Games. CoRR Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2024	A*	`conf`	WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena. NeurIPS Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jian-Guang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
2023	A*	`conf`	2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. KDD Chu Wang, Yingfei Wang, Haipeng Luo, Daniel R. Jiang, Jinghai He, Zeyu Zheng
2023	J	`jnl`	Average-Constrained Policy Optimization. CoRR Akhil Agnihotri, Rahul Jain, Haipeng Luo
2023	A*	`conf`	Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models. CVPR Wenhao Wu, Xiaohan Wang, Haipeng Luo, Jingdong Wang, Yi Yang, Wanli Ouyang
2023	J	`jnl`	Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models. CoRR Wenhao Wu, Xiaohan Wang, Haipeng Luo, Jingdong Wang, Yi Yang, Wanli Ouyang
2023	A*	`conf`	Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? CVPR Wenhao Wu, Haipeng Luo, Bo Fang, Jingdong Wang, Wanli Ouyang
2023	J	`jnl`	Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? CoRR Wenhao Wu, Haipeng Luo, Bo Fang, Jingdong Wang, Wanli Ouyang
2023	A*	`conf`	Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms. NeurIPS Tiancheng Jin, Junyan Liu, Haipeng Luo
2023	J	`jnl`	Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms. CoRR Tiancheng Jin, Junyan Liu, Haipeng Luo
2023	B	`conf`	Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. ALT Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang
2023	J	`jnl`	Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. CoRR Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, Weiqiang Zheng
2023	A	`conf`	No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. AISTATS Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang
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	J	`jnl`	Online Learning in Contextual Second-Price Pay-Per-Click Auctions. CoRR Mengxiao Zhang, Haipeng Luo
2023	A	`conf`	Posterior sampling-based online learning for the stochastic shortest path model. UAI Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo
2023	A*	`conf`	Practical Contextual Bandits with Feedback Graphs. NeurIPS Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro
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	A*	`conf`	Regret Matching+: (In)Stability and Fast Convergence in Games. NeurIPS Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo
2023	J	`jnl`	Regret Matching+: (In)Stability and Fast Convergence in Games. CoRR Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo
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
2023	J	`jnl`	WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. CoRR Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang
2022	A*	`conf`	Adaptive Bandit Convex Optimization with Heterogeneous Curvature. COLT Haipeng Luo, Mengxiao Zhang, Peng Zhao
2022	J	`jnl`	Adaptive Bandit Convex Optimization with Heterogeneous Curvature. CoRR Haipeng Luo, Mengxiao Zhang, Peng Zhao
2022	J	`jnl`	Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games. CoRR Gabriele Farina, Christian Kroer, Chung-wei Lee, Haipeng Luo
2022	A*	`conf`	Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. COLT Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
2022	J	`jnl`	Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits. CoRR Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou
2022	A*	`conf`	Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback. NeurIPS Yan Dai, Haipeng Luo, Liyu Chen
2022	J	`jnl`	Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback. CoRR Yan Dai, Haipeng Luo, Liyu Chen
2022	J	`jnl`	Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. CoRR Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang
2022	A*	`conf`	Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. ICML Liyu Chen, Rahul Jain, Haipeng Luo
2022	A*	`conf`	Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games. ICML Gabriele Farina, Chung-wei Lee, Haipeng Luo, Christian Kroer
2022	J	`jnl`	Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games. CoRR Gabriele Farina, Chung-wei Lee, Haipeng Luo, Christian Kroer
2022	J	`jnl`	Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. CoRR Liyu Chen, Rahul Jain, Haipeng Luo
2022	A*	`conf`	Learning Infinite-horizon Average-reward Markov Decision Process with Constraints. ICML Liyu Chen, Rahul Jain, Haipeng Luo
2022	A*	`conf`	Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments. NeurIPS Liyu Chen, Haipeng Luo
2022	J	`jnl`	Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments. CoRR Liyu Chen, Haipeng Luo
2022	A*	`conf`	Near-Optimal No-Regret Learning Dynamics for General Convex Games. NeurIPS Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-wei Lee, Christian Kroer, Tuomas Sandholm
2022	J	`jnl`	Near-Optimal No-Regret Learning for General Convex Games. CoRR Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-wei Lee, Christian Kroer, Tuomas Sandholm
2022	A*	`conf`	Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. NeurIPS Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
2022	J	`jnl`	Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback. CoRR Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
2022	A*	`conf`	No-Regret Learning in Time-Varying Zero-Sum Games. ICML Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
2022	J	`jnl`	No-Regret Learning in Time-Varying Zero-Sum Games. CoRR Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou
2022	J	`jnl`	No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. CoRR Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang
2022	A*	`conf`	Policy Optimization for Stochastic Shortest Path. COLT Liyu Chen, Haipeng Luo, Aviv Rosenberg
2022	J	`jnl`	Policy Optimization for Stochastic Shortest Path. CoRR Liyu Chen, Haipeng Luo, Aviv Rosenberg
2022	A*	`conf`	Uncoupled Learning Dynamics with NeurIPS Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-wei Lee, Haipeng Luo, Tuomas Sandholm
2022	J	`jnl`	Uncoupled Learning Dynamics with O(log T) Swap Regret in Multiplayer Games. CoRR Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-wei Lee, Haipeng Luo, Tuomas Sandholm
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	A	`conf`	Active Online Learning with Hidden Shifting Domains. AISTATS Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng 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`	Finding the Stochastic Shortest Path with Low Regret: The Adversarial Cost and Unknown Transition Case. CoRR Liyu Chen, Haipeng Luo
2021	A*	`conf`	Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case. ICML Liyu Chen, Haipeng Luo
2021	A*	`conf`	Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. NeurIPS Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo
2021	J	`jnl`	Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. CoRR Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo
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	J	`jnl`	Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. CoRR Liyu Chen, Rahul Jain, Haipeng Luo
2021	A*	`conf`	Last-iterate Convergence in Extensive-Form Games. NeurIPS Chung-wei Lee, Christian Kroer, Haipeng Luo
2021	J	`jnl`	Last-iterate Convergence in Extensive-Form Games. CoRR Chung-wei Lee, Christian Kroer, Haipeng Luo
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	A*	`conf`	Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. KDD Daniel R. Jiang, Haipeng Luo, Chu Wang, Yingfei Wang
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	J	`jnl`	Online Learning for Stochastic Shortest Path Model via Posterior Sampling. CoRR Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, 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
2021	A*	`conf`	The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition. NeurIPS Tiancheng Jin, Longbo Huang, Haipeng Luo
2021	J	`jnl`	The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition. CoRR Tiancheng Jin, Longbo Huang, Haipeng Luo
2020	A*	`conf`	A Closer Look at Small-loss Bounds for Bandits with Graph Feedback. COLT Chung-wei Lee, Haipeng Luo, Mengxiao Zhang
2020	J	`jnl`	A Closer Look at Small-loss Bounds for Bandits with Graph Feedback. CoRR Chung-wei Lee, Haipeng Luo, Mengxiao Zhang
2020	J	`jnl`	Active Online Domain Adaptation. CoRR Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang
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	A*	`conf`	Comparator-Adaptive Convex Bandits. NeurIPS Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo
2020	J	`jnl`	Comparator-adaptive Convex Bandits. CoRR Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo
2020	A	`conf`	Fair Contextual Multi-Armed Bandits: Theory and Experiments. UAI Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis
2020	A*	`conf`	Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition. ICML Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu
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`	Open Problem: Model Selection for Contextual Bandits. COLT Dylan J. Foster, Akshay Krishnamurthy, Haipeng Luo
2020	J	`jnl`	Open Problem: Model Selection for Contextual Bandits. CoRR Dylan J. Foster, Akshay Krishnamurthy, Haipeng Luo
2020	J	`jnl`	Oracle-efficient Online Learning and Auction Design. J. ACM Miroslav Dudík, Nika Haghtalab, Haipeng Luo, Robert E. Schapire, Vasilis Syrgkanis, Jennifer Wortman Vaughan
2020	A*	`conf`	Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition. NeurIPS Tiancheng Jin, Haipeng Luo
2020	J	`jnl`	Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition. CoRR Tiancheng Jin, Haipeng Luo
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
2020	A	`conf`	The Fair Contextual Multi-Armed Bandit. AAMAS Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis
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	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`	Equipping Experts/Bandits with Long-term Memory. NeurIPS Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang
2019	J	`jnl`	Equipping Experts/Bandits with Long-term Memory. CoRR Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang
2019	J	`jnl`	Fair Contextual Multi-Armed Bandits: Theory and Experiments. CoRR Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis
2019	A*	`conf`	Hypothesis Set Stability and Generalization. NeurIPS Dylan J. Foster, Spencer Greenberg, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan
2019	J	`jnl`	Hypothesis Set Stability and Generalization. CoRR Dylan J. Foster, Spencer Greenberg, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan
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`	Learning Adversarial MDPs with Bandit Feedback and Unknown Transition. CoRR Tiancheng Jin, Haipeng Luo
2019	A*	`conf`	Model Selection for Contextual Bandits. NeurIPS Dylan J. Foster, Akshay Krishnamurthy, Haipeng Luo
2019	J	`jnl`	Model selection for contextual bandits. CoRR Dylan J. Foster, Akshay Krishnamurthy, Haipeng Luo
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`	Logistic Regression: The Importance of Being Improper. COLT Dylan J. Foster, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan
2018	J	`jnl`	Logistic Regression: The Importance of Being Improper. CoRR Dylan J. Foster, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan
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	A*	`conf`	Practical Contextual Bandits with Regression Oracles. ICML Dylan J. Foster, Alekh Agarwal, Miroslav Dudík, Haipeng Luo, Robert E. Schapire
2018	J	`jnl`	Practical Contextual Bandits with Regression Oracles. CoRR Dylan J. Foster, Alekh Agarwal, Miroslav Dudík, Haipeng Luo, Robert E. Schapire
2017	A*	`conf`	Corralling a Band of Bandit Algorithms. COLT Alekh Agarwal, Haipeng Luo, Behnam Neyshabur, Robert E. Schapire
2017	J	`jnl`	Efficient Contextual Bandits in Non-stationary Worlds. CoRR Haipeng Luo, Alekh Agarwal, John Langford
2017	A*	`conf`	Open Problem: First-Order Regret Bounds for Contextual Bandits. COLT Alekh Agarwal, Akshay Krishnamurthy, John Langford, Haipeng Luo, Robert E. Schapire
2017	A*	`conf`	Oracle-Efficient Online Learning and Auction Design. FOCS Miroslav Dudík, Nika Haghtalab, Haipeng Luo, Robert E. Schapire, Vasilis Syrgkanis, Jennifer Wortman Vaughan
2016	J	`jnl`	Corralling a Band of Bandit Algorithms. CoRR Alekh Agarwal, Haipeng Luo, Behnam Neyshabur, Robert E. Schapire
2016	—	`conf`	Efficient Second Order Online Learning by Sketching. NIPS Haipeng Luo, Alekh Agarwal, Nicolò Cesa-Bianchi, John Langford
2016	J	`jnl`	Efficient Second Order Online Learning via Sketching. CoRR Haipeng Luo, Alekh Agarwal, Nicolò Cesa-Bianchi, John Langford
2016	—	`conf`	Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits. NIPS Vasilis Syrgkanis, Haipeng Luo, Akshay Krishnamurthy, Robert E. Schapire
2016	J	`jnl`	Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits. CoRR Vasilis Syrgkanis, Haipeng Luo, Akshay Krishnamurthy, Robert E. Schapire
2016	A*	`conf`	Optimal and Adaptive Algorithms for Online Boosting. IJCAI Alina Beygelzimer, Satyen Kale, Haipeng Luo
2016	—	`—`	Optimal and Adaptive Online Learning Haipeng Luo
2016	J	`jnl`	Oracle-Efficient Learning and Auction Design. CoRR Miroslav Dudík, Nika Haghtalab, Haipeng Luo, Robert E. Schapire, Vasilis Syrgkanis, Jennifer Wortman Vaughan
2016	J	`jnl`	Three-Dimensional Surface Displacement Field Associated with the 25 April 2015 Gorkha, Nepal, Earthquake: Solution from Integrated InSAR and GPS Measurements with an Extended SISTEM Approach. Remote. Sens. Haipeng Luo, Ting Chen
2016	A*	`conf`	Variance-Reduced and Projection-Free Stochastic Optimization. ICML Elad Hazan, Haipeng Luo
2016	J	`jnl`	Variance-Reduced and Projection-Free Stochastic Optimization. CoRR Elad Hazan, Haipeng Luo
2015	A*	`conf`	Achieving All with No Parameters: AdaNormalHedge. COLT Haipeng Luo, Robert E. Schapire
2015	J	`jnl`	Achieving All with No Parameters: Adaptive NormalHedge. CoRR Haipeng Luo, Robert E. Schapire
2015	—	`conf`	Fast Convergence of Regularized Learning in Games. NIPS Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo, Robert E. Schapire
2015	J	`jnl`	Fast Convergence of Regularized Learning in Games. CoRR Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo, Robert E. Schapire
2015	—	`conf`	Online Gradient Boosting. NIPS Alina Beygelzimer, Elad Hazan, Satyen Kale, Haipeng Luo
2015	J	`jnl`	Online Gradient Boosting. CoRR Alina Beygelzimer, Elad Hazan, Satyen Kale, Haipeng Luo
2015	A*	`conf`	Optimal and Adaptive Algorithms for Online Boosting. ICML Alina Beygelzimer, Satyen Kale, Haipeng Luo
2015	J	`jnl`	Optimal and Adaptive Algorithms for Online Boosting. CoRR Alina Beygelzimer, Satyen Kale, Haipeng Luo
2014	—	`conf`	A Drifting-Games Analysis for Online Learning and Applications to Boosting. NIPS Haipeng Luo, Robert E. Schapire
2014	J	`jnl`	A Drifting-Games Analysis for Online Learning and Applications to Boosting. CoRR Haipeng Luo, Robert E. Schapire
2014	J	`jnl`	Accelerated Parallel Optimization Methods for Large Scale Machine Learning. CoRR Haipeng Luo, Patrick Haffner, Jean-François Paiement
2014	J	`jnl`	Adaptive Resource Provisioning for the Cloud Using Online Bin Packing. IEEE Trans. Computers Weijia Song, Zhen Xiao, Qi Chen, Haipeng Luo
2014	J	`jnl`	Automatic Scaling of Internet Applications for Cloud Computing Services. IEEE Trans. Computers Zhen Xiao, Qi Chen, Haipeng Luo
2014	A*	`conf`	Towards Minimax Online Learning with Unknown Time Horizon. ICML Haipeng Luo, Robert E. Schapire
2013	J	`jnl`	Online Learning with Unknown Time Horizon. CoRR Haipeng Luo, Robert E. Schapire
2010	J	`jnl`	A Generalization of Generalized Paley Graphs and New Lower Bounds for R(3,q). Electron. J. Comb. Kang Wu, Wenlong Su, Haipeng Luo, Xiaodong Xu
2010	J	`jnl`	The existence of balanced ( Sci. China Inf. Sci. Dianhua Wu, Minquan Cheng, Zhilin Chen, Haipeng Luo
2010	J	`jnl`	Upper and lower bounds for Electron. J. Comb. Xiaodong Xu, Haipeng Luo, Zehui Shao
2009	J	`jnl`	New lower bounds for seven classical Ramsey numbers R(3, q). Appl. Math. Lett. Kang Wu, Wenlong Su, Haipeng Luo, Xiaodong Xu
2003	J	`jnl`	Edge colorings of the complete graph K149 and the lower bounds of three Ramsey numbers. Discret. Appl. Math. Guiqing Li, Wenlong Su, Haipeng Luo
2002	J	`jnl`	Lower bounds of Ramsey numbers based on cubic residues. Discret. Math. Wenlong Su, Qiao Li, Haipeng Luo, Guiqing Li
2002	J	`jnl`	The properties of self-complementary graphs and new lower bounds for diagonal Ramsey numbers. Australas. J Comb. Haipeng Luo, Wenlong Su, Zhenchong Li
2001	J	`jnl`	New lower bounds of ten classical Ramsey numbers. Australas. J Comb. Haipeng Luo, Wenlong Su, Yun-Qiu Shen
1999	J	`jnl`	New lower bounds of fifteen classical Ramsey numbers. Australas. J Comb. Wenlong Su, Haipeng Luo, Zhengyou Zhang, Guiqing Li