Yuan Zhou - RankMe

126 papers A* 38A 8Misc 2Journal 69Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Technical Note - Fairness-Aware Online Price Discrimination with Nonparametric Demand Models. Oper. Res. Xi Chen, Jiameng Lyu, Xuan Zhang, Yuan Zhou
2025	J	`jnl`	A Minibatch Stochastic Gradient Descent-Based Learning Metapolicy for Inventory Systems with Myopic Optimal Policy. Manag. Sci. Jiameng Lyu, Jinxing Xie, Shilin Yuan, Yuan Zhou
2025	J	`jnl`	A Neural Symbolic Model for Space Physics. CoRR Jie Ying, Haowei Lin, Chao Yue, Yajie Chen, Chao Xiao, Quanqi Shi, Yitao Liang, Shing-Tung Yau, Yuan Zhou, Jianzhu Ma
2025	A*	`conf`	Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits. ICLR Zihan Zhang, Xiangyang Ji, Yuan Zhou
2025	J	`jnl`	Bayesian Mechanism Design for Blockchain Transaction Fee Allocation. Oper. Res. Xi Chen, David Simchi-Levi, Zishuo Zhao, Yuan Zhou
2025	J	`jnl`	Falcon: A Universal Text-Only Membership Inference Attack Framework Against In-Context Learning. IEEE Trans. Inf. Forensics Secur. Haitao Su, Yue Qin, Zhenhua Li, Xin Miao, Yuan Zhou
2025	A*	`conf`	ME-PATS: Mutually Enhancing Search-Based Planner and Learning-Based Agent for Tractor-Trailer Systems. ICRA Ke Fan, Zhizhou Ren, Ruihan Guo, Jinpeng Zhang, Zhuo Huang, Yuan Zhou, Zufeng Zhang
2025	A*	`conf`	Safety-Polarized and Prioritized Reinforcement Learning. ICML Ke Fan, Jinpeng Zhang, Xuefeng Zhang, Yunze Wu, Jingyu Cao, Yuan Zhou, Jianzhu Ma
2024	J	`jnl`	A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy. CoRR Jiameng Lyu, Jinxing Xie, Shilin Yuan, Yuan Zhou
2024	J	`jnl`	Asymptotic optimality of base-stock policies for lost-sales inventory systems with stochastic lead times. Oper. Res. Lett. Shilin Yuan, Jiameng Lyu, Jinxing Xie, Yuan Zhou
2024	J	`jnl`	Closing the Gaps: Optimality of Sample Average Approximation for Data-Driven Newsvendor Problems. CoRR Jiameng Lyu, Shilin Yuan, Bingkun Zhou, Yuan Zhou
2024	J	`jnl`	Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits. IEEE Trans. Inf. Theory Yingkai Li, Yining Wang, Yuan Zhou
2024	J	`jnl`	Optimal Policies for Dynamic Pricing and Inventory Control with Nonparametric Censored Demands. Manag. Sci. Boxiao Chen, Yining Wang, Yuan Zhou
2023	A*	`conf`	Learning Sparse Group Models Through Boolean Relaxation. ICLR Yijie Wang, Yuan Zhou, Xiaoqing Huang, Kun Huang, Jie Zhang, Jianzhu Ma
2023	—	`conf`	Personalized Pricing with Group Fairness Constraint. FAccT Xin Chen, Zexing Xu, Zishuo Zhao, Yuan Zhou
2023	A*	`conf`	Robust Situational Reinforcement Learning in Face of Context Disturbances. ICML Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian
2022	J	`jnl`	Assortment Optimization Under the Multivariate MNL Model. CoRR Xin Chen, Jiachun Li, Menglong Li, Tiancheng Zhao, Yuan Zhou
2022	J	`jnl`	Bayesian-Nash-Incentive-Compatible Mechanism for Blockchain Transaction Fee Allocation. CoRR Zishuo Zhao, Xi Chen, Yuan Zhou
2022	A*	`conf`	Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms. IJCAI Zishuo Zhao, Xi Chen, Xuefeng Zhang, Yuan Zhou
2022	J	`jnl`	Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms. CoRR Zishuo Zhao, Xi Chen, Xuefeng Zhang, Yuan Zhou
2022	J	`jnl`	Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. Manag. Sci. Boxiao Chen, David Simchi-Levi, Yining Wang, Yuan Zhou
2022	J	`jnl`	Fairness-aware Network Revenue Management with Demand Learning. CoRR Xi Chen, Jiameng Lyu, Yining Wang, Yuan Zhou
2022	A*	`conf`	Imitation Learning from Observations under Transition Model Disparity. ICLR Tanmay Gangwani, Yuan Zhou, Jian Peng
2022	J	`jnl`	Imitation Learning from Observations under Transition Model Disparity. CoRR Tanmay Gangwani, Yuan Zhou, Jian Peng
2022	A*	`conf`	Learning Long-Term Reward Redistribution via Randomized Return Decomposition. ICLR Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng
2022	A*	`conf`	Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning. NeurIPS Zihan Zhang, Yuhang Jiang, Yuan Zhou, Xiangyang Ji
2022	J	`jnl`	Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning. CoRR Zihan Zhang, Yuhang Jiang, Yuan Zhou, Xiangyang Ji
2022	A*	`conf`	Off-Policy Reinforcement Learning with Delayed Rewards. ICML Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng
2022	A*	`conf`	Proximal Exploration for Model-guided Protein Sequence Design. ICML Zhizhou Ren, Jiahan Li, Fan Ding, Yuan Zhou, Jianzhu Ma, Jian Peng
2021	J	`jnl`	Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits. CoRR Zihan Zhang, Xiangyang Ji, Yuan Zhou
2021	J	`jnl`	Coordinate-wise Control Variates for Deep Policy Gradients. CoRR Yuanyi Zhong, Yuan Zhou, Jian Peng
2021	J	`jnl`	Learning Long-Term Reward Redistribution via Randomized Return Decomposition. CoRR Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng
2021	A*	`conf`	Linear bandits with limited adaptivity and learning distributional optimal design. STOC Yufei Ruan, Jiaqi Yang, Yuan Zhou
2021	A*	`conf`	Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity. ICML Zihan Zhang, Yuan Zhou, Xiangyang Ji
2021	A*	`conf`	Near-Optimal MNL Bandits Under Risk Criteria. AAAI Guangyu Xi, Chao Tao, Yuan Zhou
2021	J	`jnl`	Off-Policy Reinforcement Learning with Delayed Rewards. CoRR Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng
2021	J	`jnl`	Optimal Policy for Dynamic Assortment Planning Under Multinomial Logit Models. Math. Oper. Res. Xi Chen, Yining Wang, Yuan Zhou
2021	A	`conf`	Tight Regret Bounds for Infinite-armed Linear Contextual Bandits. AISTATS Yingkai Li, Yining Wang, Xi Chen, Yuan Zhou
2020	A	`conf`	A PTAS for the Bayesian Thresholding Bandit Problem. AISTATS Yue Qin, Jian Peng, Yuan Zhou
2020	A*	`conf`	Adaptive Double-Exploration Tradeoff for Outlier Detection. AAAI Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou
2020	J	`jnl`	Adaptive Double-Exploration Tradeoff for Outlier Detection. CoRR Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou
2020	J	`jnl`	Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition. CoRR Zihan Zhang, Yuan Zhou, Xiangyang Ji
2020	A*	`conf`	Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition. NeurIPS Zihan Zhang, Yuan Zhou, Xiangyang Ji
2020	A*	`conf`	Collaborative Top Distribution Identifications with Limited Interaction (Extended Abstract). FOCS Nikolai Karpov, Qin Zhang, Yuan Zhou
2020	J	`jnl`	Collaborative Top Distribution Identifications with Limited Interaction. CoRR Nikolai Karpov, Qin Zhang, Yuan Zhou
2020	J	`jnl`	Dynamic Assortment Optimization with Changing Contextual Information. J. Mach. Learn. Res. Xi Chen, Yining Wang, Yuan Zhou
2020	J	`jnl`	Efficient Competitive Self-Play Policy Optimization. CoRR Yuanyi Zhong, Yuan Zhou, Jian Peng
2020	Misc	`conf`	Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRL Tanmay Gangwani, Jian Peng, Yuan Zhou
2020	J	`jnl`	Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRR Tanmay Gangwani, Jian Peng, Yuan Zhou
2020	A*	`conf`	Learning Guidance Rewards with Trajectory-space Smoothing. NeurIPS Tanmay Gangwani, Yuan Zhou, Jian Peng
2020	J	`jnl`	Learning Guidance Rewards with Trajectory-space Smoothing. CoRR Tanmay Gangwani, Yuan Zhou, Jian Peng
2020	—	`conf`	Learning Structural Genetic Information via Graph Neural Embedding. ISBRA Yuan Xie, Yulong Pei, Yun Lu, Haixu Tang, Yuan Zhou
2020	J	`jnl`	Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design. CoRR Yufei Ruan, Jiaqi Yang, Yuan Zhou
2020	J	`jnl`	Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity. CoRR Zihan Zhang, Yuan Zhou, Xiangyang Ji
2020	A*	`conf`	Multinomial Logit Bandit with Low Switching Cost. ICML Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou
2020	J	`jnl`	Multinomial Logit Bandit with Low Switching Cost. CoRR Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou
2020	J	`jnl`	Near-Optimal MNL Bandits Under Risk Criteria. CoRR Guangyu Xi, Chao Tao, Yuan Zhou
2020	A*	`conf`	Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. COLT Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
2019	J	`jnl`	Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits. CoRR Chao Tao, Qin Zhang, Yuan Zhou
2019	A*	`conf`	Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-armed Bandits. FOCS Chao Tao, Qin Zhang, Yuan Zhou
2019	A*	`conf`	Exploration via Hindsight Goal Generation. NeurIPS Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
2019	J	`jnl`	Exploration via Hindsight Goal Generation. CoRR Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
2019	A*	`conf`	Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits. COLT Yingkai Li, Yining Wang, Yuan Zhou
2019	J	`jnl`	Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits. CoRR Yingkai Li, Yining Wang, Yuan Zhou
2019	—	`conf`	Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. ICLR (Poster) Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
2019	J	`jnl`	Optimal Design of Process Flexibility for General Production Systems. Oper. Res. Xi Chen, Tengyu Ma, Jiawei Zhang, Yuan Zhou
2019	A*	`conf`	Thresholding Bandit with Optimal Aggregate Regret. NeurIPS Chao Tao, Saúl A. Blanco, Jian Peng, Yuan Zhou
2019	J	`jnl`	Thresholding Bandit with Optimal Aggregate Regret. CoRR Chao Tao, Saúl A. Blanco, Jian Peng, Yuan Zhou
2019	J	`jnl`	Tight Regret Bounds for Infinite-armed Linear Contextual Bandits. CoRR Yingkai Li, Yining Wang, Yuan Zhou
2019	J	`jnl`	√n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. CoRR Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
2018	A*	`conf`	Best Arm Identification in Linear Bandits with Linear Dimension Dependency. ICML Chao Tao, Saúl A. Blanco, Yuan Zhou
2018	J	`jnl`	Dynamic Assortment Optimization with Changing Contextual Information. CoRR Xi Chen, Yining Wang, Yuan Zhou
2018	J	`jnl`	Dynamic Assortment Selection under the Nested Logit Models. CoRR Xi Chen, Yining Wang, Yuan Zhou
2018	A*	`conf`	Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models. NeurIPS Yining Wang, Xi Chen, Yuan Zhou
2018	J	`jnl`	Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models. CoRR Yining Wang, Xi Chen, Yuan Zhou
2018	J	`jnl`	Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. CoRR Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
2018	J	`jnl`	Optimal Design of Process Flexibility for General Production Systems. CoRR Xi Chen, Tengyu Ma, Jiawei Zhang, Yuan Zhou
2018	A*	`conf`	Tight Bounds for Collaborative PAC Learning via Multiplicative Weights. NeurIPS Jiecao Chen, Qin Zhang, Yuan Zhou
2018	J	`jnl`	Tight Bounds for Collaborative PAC Learning via Multiplicative Weights. CoRR Jiecao Chen, Qin Zhang, Yuan Zhou
2017	A*	`conf`	Adaptive Multiple-Arm Identification. ICML Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou
2017	J	`jnl`	Adaptive Multiple-Arm Identification. CoRR Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou
2017	A*	`conf`	Parameterized Algorithms for Constraint Satisfaction Problems Above Average with Global Cardinality Constraints. SODA Xue Chen, Yuan Zhou
2016	J	`jnl`	Approximation Algorithms and Hardness of the ACM Trans. Algorithms Julia Chuzhoy, Yury Makarychev, Aravindan Vijayaraghavan, Yuan Zhou
2015	J	`jnl`	Hardness of Max-2Lin and Max-3Lin over Integers, Reals, and Large Cyclic Groups. ACM Trans. Comput. Theory Ryan O'Donnell, Yi Wu, Yuan Zhou
2015	J	`jnl`	Optimal Sparse Designs for Process Flexibility via Probabilistic Expanders. Oper. Res. Xi Chen, Jiawei Zhang, Yuan Zhou
2015	J	`jnl`	Parameterized Algorithms for Constraint Satisfaction Problems Above Average with Global Cardinality Constraints. CoRR Xue Chen, Yuan Zhou
2015	J	`jnl`	Satisfiability of Ordering CSPs Above Average. CoRR Konstantin Makarychev, Yury Makarychev, Yuan Zhou
2015	A*	`conf`	Satisfiability of Ordering CSPs above Average is Fixed-Parameter Tractable. FOCS Konstantin Makarychev, Yury Makarychev, Yuan Zhou
2014	A	`conf`	Approximation schemes via Sherali-Adams hierarchy for dense constraint satisfaction problems and assignment problems. ITCS Yuichi Yoshida, Yuan Zhou
2014	J	`jnl`	Constant Factor Lasserre Integrality Gaps for Graph Partitioning Problems. SIAM J. Optim. Venkatesan Guruswami, Ali Kemal Sinop, Yuan Zhou
2014	—	`conf`	Deterministic Coupon Collection and Better Strong Dispersers. APPROX-RANDOM Raghu Meka, Omer Reingold, Yuan Zhou
2014	A*	`conf`	Hardness of Robust Graph Isomorphism, Lasserre Gaps, and Asymmetry of Random Graphs. SODA Ryan O'Donnell, John Wright, Chenggang Wu, Yuan Zhou
2014	J	`jnl`	Hardness of robust graph isomorphism, Lasserre gaps, and asymmetry of random graphs. CoRR Ryan O'Donnell, John Wright, Chenggang Wu, Yuan Zhou
2014	A*	`conf`	Hypercontractive inequalities via SOS, and the Frankl-Rödl graph. SODA Manuel Kauers, Ryan O'Donnell, Li-Yang Tan, Yuan Zhou
2014	A	`conf`	Locally testable codes and cayley graphs. ITCS Parikshit Gopalan, Salil P. Vadhan, Yuan Zhou
2014	J	`jnl`	Optimal Lower Bounds for Locality-Sensitive Hashing (Except When q is Tiny). ACM Trans. Comput. Theory Ryan O'Donnell, Yi Wu, Yuan Zhou
2014	A*	`conf`	Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing. ICML Yuan Zhou, Xi Chen, Jian Li
2014	—	`conf`	Optimal Strong Parallel Repetition for Projection Games on Low Threshold Rank Graphs. ICALP (1) Madhur Tulsiani, John Wright, Yuan Zhou
2013	A*	`conf`	Approximability and proof complexity. SODA Ryan O'Donnell, Yuan Zhou
2013	J	`jnl`	Locally Testable Codes and Cayley Graphs. CoRR Parikshit Gopalan, Salil P. Vadhan, Yuan Zhou
2013	J	`jnl`	Locally Testable Codes and Cayley Graphs. Electron. Colloquium Comput. Complex. Parikshit Gopalan, Salil P. Vadhan, Yuan Zhou
2012	J	`jnl`	Approximability and proof complexity CoRR Ryan O'Donnell, Yuan Zhou
2012	—	`conf`	Approximating Bounded Occurrence Ordering CSPs. APPROX-RANDOM Venkatesan Guruswami, Yuan Zhou
2012	J	`jnl`	Approximating Bounded Occurrence Ordering CSPs. Electron. Colloquium Comput. Complex. Venkatesan Guruswami, Yuan Zhou
2012	A*	`conf`	Approximation algorithms and hardness of the SODA Julia Chuzhoy, Yury Makarychev, Aravindan Vijayaraghavan, Yuan Zhou
2012	J	`jnl`	Constant Factor Lasserre Integrality Gaps for Graph Partitioning Problems CoRR Venkatesan Guruswami, Ali Kemal Sinop, Yuan Zhou
2012	J	`jnl`	Hypercontractive inequalities via SOS, with an application to Vertex-Cover CoRR Manuel Kauers, Ryan O'Donnell, Li-Yang Tan, Yuan Zhou
2012	J	`jnl`	Hypercontractivity, Sum-of-Squares Proofs, and their Applications CoRR Boaz Barak, Fernando G. S. L. Brandão, Aram W. Harrow, Jonathan A. Kelner, David Steurer, Yuan Zhou
2012	A*	`conf`	Hypercontractivity, sum-of-squares proofs, and their applications. STOC Boaz Barak, Fernando G. S. L. Brandão, Aram W. Harrow, Jonathan A. Kelner, David Steurer, Yuan Zhou
2012	A	`conf`	Linear programming, width-1 CSPs, and robust satisfaction. ITCS Gábor Kun, Ryan O'Donnell, Suguru Tamaki, Yuichi Yoshida, Yuan Zhou
2012	A*	`conf`	Polynomial integrality gaps for strong SDP relaxations of Densest SODA Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan, Venkatesan Guruswami, Yuan Zhou
2012	J	`jnl`	Tight Bounds on the Approximability of Almost-Satisfiable Horn SAT and Exact Hitting Set. Theory Comput. Venkatesan Guruswami, Yuan Zhou
2011	J	`jnl`	Approximation Algorithms and Hardness of the k-Route Cut Problem CoRR Julia Chuzhoy, Yury Makarychev, Aravindan Vijayaraghavan, Yuan Zhou
2011	—	`conf`	Black-Box Reductions in Mechanism Design. APPROX-RANDOM Zhiyi Huang, Lei Wang, Yuan Zhou
2011	A	`conf`	Finding Almost-Perfect Graph Bisections. ICS Venkatesan Guruswami, Yury Makarychev, Prasad Raghavendra, David Steurer, Yuan Zhou
2011	A	`conf`	Hardness of Max-2Lin and Max-3Lin over Integers, Reals, and Large Cyclic Groups. CCC Ryan O'Donnell, Yi Wu, Yuan Zhou
2011	A	`conf`	Optimal lower bounds for locality sensitive hashing (except when q is tiny). ICS Ryan O'Donnell, Yi Wu, Yuan Zhou
2011	J	`jnl`	Polynomial integrality gaps for strong SDP relaxations of Densest k-subgraph CoRR Aditya Bhaskara, Moses Charikar, Venkatesan Guruswami, Aravindan Vijayaraghavan, Yuan Zhou
2011	—	`conf`	The Fourier Entropy-Influence Conjecture for Certain Classes of Boolean Functions. ICALP (1) Ryan O'Donnell, John Wright, Yuan Zhou
2011	A*	`conf`	Tight Bounds on the Approximability of Almost-satisfiable Horn SAT and Exact Hitting Set. SODA Venkatesan Guruswami, Yuan Zhou
2010	J	`jnl`	Surviving Rates of Graphs with Bounded Treewidth for the Firefighter Problem. SIAM J. Discret. Math. Leizhen Cai, Yongxi Cheng, Elad Verbin, Yuan Zhou
2010	J	`jnl`	Tight Bounds on the Approximability of Almost-satisfiable Horn SAT and Exact Hitting Set}. Electron. Colloquium Comput. Complex. Venkatesan Guruswami, Yuan Zhou
2009	Misc	`conf`	On the alpha-Sensitivity of Nash Equilibria in PageRank-Based Network Reputation Games. FAW Wei Chen, Shang-Hua Teng, Yajun Wang, Yuan Zhou
2009	J	`jnl`	Optimal lower bounds for locality sensitive hashing (except when q is tiny) CoRR Ryan O'Donnell, Yi Wu, Yuan Zhou
2009	J	`jnl`	Optimal lower bounds for locality sensitive hashing (except when q is tiny). Electron. Colloquium Comput. Complex. Ryan O'Donnell, Yi Wu, Yuan Zhou
2009	—	`conf`	Tighter Bounds for Facility Games. WINE Pinyan Lu, Yajun Wang, Yuan Zhou