Zhengling Qi - RankMe

57 papers A* 8A 4Journal 43Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ARISE: Agent Reasoning with Intrinsic Skill Evolution in Hierarchical Reinforcement Learning. CoRR Yu Li, Rui Miao, Zhengling Qi, Tian Lan
2026	J	`jnl`	Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights. CoRR Zeyu Bian, Max Biggs, Ruijiang Gao, Zhengling Qi
2026	J	`jnl`	Double Fairness Policy Learning: Integrating Action Fairness and Outcome Fairness in Decision-making. CoRR Zeyu Bian, Lan Wang, Chengchun Shi, Zhengling Qi
2026	J	`jnl`	Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. Manag. Sci. Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang
2026	J	`jnl`	When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPO. CoRR Yu Li, Tian Lan, Zhengling Qi
2025	J	`jnl`	A Principled Path to Fitted Distributional Evaluation. CoRR Sungee Hong, Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
2025	A	`conf`	Distributional Off-policy Evaluation with Bellman Residual Minimization. AISTATS Sungee Hong, Zhengling Qi, Raymond K. W. Wong
2025	J	`jnl`	InSPO: Unlocking Intrinsic Self-Reflection for LLM Preference Optimization. CoRR Yu Li, Tian Lan, Zhengling Qi
2025	J	`jnl`	Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand. CoRR Korel Gundem, Zhengling Qi
2025	J	`jnl`	Offline Feature-Based Pricing Under Censored Demand: A Causal Inference Approach. Manuf. Serv. Oper. Manag. Jingwen Tang, Zhengling Qi, Ethan X. Fang, Cong Shi
2025	J	`jnl`	PASTA: A Unified Framework for Offline Assortment Learning. CoRR Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
2025	J	`jnl`	POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes. CoRR Ruijia Zhang, Zhengling Qi, Yue Wu, Xiangyu Zhang, Yanxun Xu
2025	J	`jnl`	Quantile-Optimal Policy Learning under Unmeasured Confounding. CoRR Zhongren Chen, Siyu Chen, Zhengling Qi, Xiaohong Chen, Zhuoran Yang
2025	J	`jnl`	Reinforcement Learning with Continuous Actions Under Unmeasured Confounding. CoRR Yuhan Li, Eugene Han, Yifan Hu, Wenzhuo Zhou, Zhengling Qi, Yifan Cui, Ruoqing Zhu
2024	A*	`conf`	A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models. ICML Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
2024	A*	`conf`	A Policy Gradient Method for Confounded POMDPs. ICLR Mao Hong, Zhengling Qi, Yanxun Xu
2024	J	`jnl`	A Tale of Two Cities: Pessimism and Opportunism in Offline Dynamic Pricing. CoRR Zeyu Bian, Zhengling Qi, Cong Shi, Lan Wang
2024	J	`jnl`	Distributional Off-policy Evaluation with Bellman Residual Minimization. CoRR Sungee Hong, Zhengling Qi, Raymond K. W. Wong
2024	A*	`conf`	Model-based Reinforcement Learning for Confounded POMDPs. ICML Mao Hong, Zhengling Qi, Yanxun Xu
2024	A	`conf`	Robust Offline Reinforcement Learning with Heavy-Tailed Rewards. AISTATS Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
2024	A*	`conf`	Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning. NeurIPS Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou, Chengchun Shi
2024	J	`jnl`	Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning. CoRR Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou, Chengchun Shi
2023	J	`jnl`	A Policy Gradient Method for Confounded POMDPs. CoRR Mao Hong, Zhengling Qi, Yanxun Xu
2023	J	`jnl`	Off-policy Evaluation in Doubly Inhomogeneous Environments. CoRR Zeyu Bian, Chengchun Shi, Zhengling Qi, Lan Wang
2023	A	`conf`	Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach. AISTATS Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li
2023	A*	`conf`	PASTA: Pessimistic Assortment Optimization. ICML Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
2023	J	`jnl`	PASTA: Pessimistic Assortment Optimization. CoRR Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
2023	J	`jnl`	Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning. CoRR Rui Miao, Zhengling Qi, Cong Shi, Lin Lin
2023	A	`conf`	Pessimistic Model Selection for Offline Deep Reinforcement Learning. UAI Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
2023	J	`jnl`	Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards. CoRR Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
2023	J	`jnl`	STEEL: Singularity-aware Reinforcement Learning. CoRR Xiaohong Chen, Zhengling Qi, Runzhe Wan
2023	J	`jnl`	Sequential Knockoffs for Variable Selection in Reinforcement Learning. CoRR Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber
2023	J	`jnl`	Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization. CoRR Chengchun Shi, Zhengling Qi, Jianing Wang, Fan Zhou
2022	J	`jnl`	Asymptotic Properties of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization. Math. Oper. Res. Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang
2022	J	`jnl`	Blessing from Experts: Super Reinforcement Learning in Confounded Environments. CoRR Jiayi Wang, Zhengling Qi, Chengchun Shi
2022	A*	`conf`	Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models. NeurIPS Rui Miao, Zhengling Qi, Xiaoke Zhang
2022	J	`jnl`	Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models. CoRR Rui Miao, Zhengling Qi, Xiaoke Zhang
2022	J	`jnl`	Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. CoRR Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang
2022	J	`jnl`	Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes. CoRR Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok
2022	A*	`conf`	On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation. ICML Xiaohong Chen, Zhengling Qi
2022	J	`jnl`	On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation. CoRR Xiaohong Chen, Zhengling Qi
2022	J	`jnl`	Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach. CoRR Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li
2022	A*	`conf`	RISE: Robust Individualized Decision Learning with Sensitive Variables. NeurIPS Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang
2022	J	`jnl`	RISE: Robust Individualized Decision Learning with Sensitive Variables. CoRR Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang
2021	J	`jnl`	Pessimistic Model Selection for Offline Deep Reinforcement Learning. CoRR Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
2021	J	`jnl`	Projected State-action Balancing Weights for Offline Reinforcement Learning. CoRR Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
2021	J	`jnl`	Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding. CoRR Zhengling Qi, Rui Miao, Xiaoke Zhang
2021	J	`jnl`	Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules. CoRR Weibin Mo, Zhengling Qi, Yufeng Liu
2020	J	`jnl`	Learning Optimal Distributionally Robust Individualized Treatment Rules. CoRR Weibin Mo, Zhengling Qi, Yufeng Liu
2020	J	`jnl`	Robust Batch Policy Learning in Markov Decision Processes. CoRR Zhengling Qi, Peng Liao
2019	J	`jnl`	Convex Bidirectional Large Margin Classifiers. Technometrics Zhengling Qi, Yufeng Liu
2019	J	`jnl`	Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes. CoRR Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang
2019	J	`jnl`	Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes. SIAM J. Optim. Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang
2019	J	`jnl`	How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model. Inf. Syst. Res. Jinyang Zheng, Zhengling Qi, Yifan Dou, Yong Tan
2019	—	`—`	Some Contributions to Data Driven Individualized Decision Making Problems. Zhengling Qi
2019	J	`jnl`	Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization. CoRR Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang
2015	—	`conf`	Multivariate and Categorical Analysis of Gaming Statistics. NBiS Pin-Yu Chen, Zhengling Qi, Yanxin Pan, Shin-Ming Cheng