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Zheng-Ling Qi · SciRah

Researcher profile · Semantic Scholar

Zheng-Ling Qi

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Zheng-Ling Qi — researcher profile on SciRah

h-index: 14
Works: 36
Citations: 632

Most-cited papers

BATCH POLICY LEARNING IN AVERAGE REWARD MARKOV DECISION PROCESSES
P. Liao, Zheng-Ling Qi, Runzhe Wan, P. Klasnja +1 more
2020Annals of Statistics99 citations Open access
Semantic Scholar
Learning Optimal Distributionally Robust Individualized Treatment Rules
Wei-Bin Mo, Zheng-Ling Qi, Yu-Feng Liu
2020Journal of the American Statistical Association61 citations Open access
Semantic Scholar
Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes
Zheng-Ling Qi, Da-Cheng Liu, H. Fu, Yu-Feng Liu
2019Journal of the American Statistical Association61 citations Open access
Semantic Scholar
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
Zheng-Ling Qi, Rui Miao, Xiao-Ke Zhang
2021Journal of the American Statistical Association43 citations Open access
Semantic Scholar
D-learning to estimate optimal individual treatment rules
Zheng-Ling Qi, Yu-Feng Liu
201842 citations Open access
Semantic Scholar
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
Xiao-Hong Chen, Zheng-Ling Qi
2022International Conference on Machine Learning38 citations
Semantic Scholar
How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model
Jinyang Zheng, Zheng-Ling Qi, Yi-Fan Dou, Yong Tan
2019Information systems research32 citations
Semantic Scholar
Projected State-action Balancing Weights for Offline Reinforcement Learning
Jiayi Wang, Zheng-Ling Qi, Raymond K. W. Wong
2021Annals of Statistics26 citations Open access
Semantic Scholar
Scaling of global input–output networks
Sai Liang, Zheng-Ling Qi, Shen Qu, Ji Zhu +3 more
201623 citations Open access
Semantic Scholar
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes
Zuyue Fu, Zheng-Ling Qi, Zhao-Ran Wang, Zhuoran Yang +2 more
2022arXiv.org21 citations Open access
Semantic Scholar
On Robustness of Individualized Decision Rules
Zheng-Ling Qi, J. Pang, Yu-Feng Liu
2019Journal of the American Statistical Association21 citations Open access
Semantic Scholar
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Rui Miao, Zheng-Ling Qi, Xiao-Ke Zhang
2022Neural Information Processing Systems18 citations Open access
Semantic Scholar
Off-Policy Evaluation in Doubly Inhomogeneous Environments
Zeyu Bian, Cheng-Chun Shi, Zheng-Ling Qi, Lan Wang
2023Journal of the American Statistical Association17 citations Open access
Semantic Scholar
Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes
Zheng-Ling Qi, Ying Cui, Yu-Feng Liu, J. Pang
2019SIAM Journal on Optimization17 citations Open access
Semantic Scholar
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization
Cheng-Chun Shi, Zheng-Ling Qi, Jianing Wang, Fan Zhou
2023Journal of the American Statistical Association14 citations Open access
Semantic Scholar
RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Tan, Zheng-Ling Qi, C. Seymour, Lu Tang
2022Neural Information Processing Systems12 citations Open access
Semantic Scholar
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach
Yunzhe Zhou, Zheng-Ling Qi, Cheng-Chun Shi, Le-Xin Li
2022International Conference on Artificial Intelligence and Statistics11 citations Open access
Semantic Scholar
Asymptotic Properties of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization
Zheng-Ling Qi, Ying Cui, Yu-Feng Liu, J. Pang
2021Mathematics of Operations Research11 citations Open access
Semantic Scholar
Sequential Knockoffs for Variable Selection in Reinforcement Learning
Tao Ma, Hengrui Cai, Zheng-Ling Qi, Cheng-Chun Shi +1 more
2023arXiv.org9 citations Open access
Semantic Scholar
Change Point Detection for High-dimensional Linear Models: A General Tail-adaptive Approach
B. Liu, Zheng-Ling Qi, Xin-Sheng Zhang, Yufeng Liu
2022Statistica sinica9 citations Open access
Semantic Scholar
Estimating Individualized Decision Rules with Tail Controls
Zheng-Ling Qi, J. Pang, Yu-Feng Liu
20198 citations
Semantic Scholar
A Policy Gradient Method for Confounded POMDPs
Mao Hong, Zheng-Ling Qi, Yanxun Xu
2023arXiv.org7 citations Open access
Semantic Scholar
Offline Personalized Pricing with Censored Demand
Zheng-Ling Qi, Jingwen Tang, Ethan X. Fang, Cong Shi
2022Social Science Research Network6 citations
Semantic Scholar
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Chao-Han Huck Yang, Zheng-Ling Qi, Yi-Fan Cui, Pin-Yu Chen
2021Conference on Uncertainty in Artificial Intelligence5 citations
Semantic Scholar
Robust Batch Policy Learning in Markov Decision Processes
Zheng-Ling Qi, P. Liao
2020arXiv.org5 citations
Semantic Scholar
Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization
Zheng-Ling Qi, Ying Cui, Yu-Feng Liu, J. Pang
2019arXiv.org5 citations
Semantic Scholar
STEEL: Singularity-aware Reinforcement Learning
Xiaohong Chen, Zheng-Ling Qi, Runzhe Wan
2023arXiv.org4 citations Open access
Semantic Scholar
PASTA: Pessimistic Assortment Optimization
Jun-Cheng Dong, Wei-Bin Mo, Zheng-Ling Qi, Cong Shi +2 more
2023International Conference on Machine Learning3 citations Open access
Semantic Scholar
Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning
Rui Miao, Zheng-Ling Qi, Cong Shi, Lin Lin
2023arXiv.org2 citations Open access
Semantic Scholar
How Mega Is the Mega? Measuring the Spillover Effects of WeChat by Machine Learning and Econometrics
Jinyang Zheng, Zheng-Ling Qi, Yi-Fan Dou, Yong Tan
20162 citations
Semantic Scholar
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information
Zuyue Fu, Zheng-Ling Qi, Zhuoran Yang, Zhao-Ran Wang +1 more
2022Management Sciences1 citations Open access
Semantic Scholar
Dispatch or Hold? An Inverse Optimization and Reinforcement Learning Approach for Multiobjective On-Demand Delivery
Yi-Hua Wang, Long He, Zheng-Ling Qi, Stefan Minner
2026Transportation Science0 citations Open access
Semantic Scholar
Rebalancing and Clearance Pricing of Near-Expiry Inventory in Online Grocery Retail
Zi-Yuan Zhou, Long He, Guang-Rui Ma, Yuan-Bo Peng +5 more
2026INFORMS Journal on Applied Analytics0 citations
Semantic Scholar
Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules
Wei-Bin Mo, Zheng-Ling Qi, Yu-Feng Liu
2021Journal of the American Statistical Association0 citations Open access
Semantic Scholar
Some Contributions to Data Driven Individualized Decision Making Problems
Zheng-Ling Qi
20190 citations
Semantic Scholar
Web-based for “Multi-armed Angle-based Direct learning for Estimating Optimal Individual Treatment Rules with Various Outcomes”
Zheng-Ling Qi, Da-Cheng Liu, H. Fu, Yufeng Liu
20180 citations
Semantic Scholar
Convex Bidirectional Large Margin Classifiers
Zheng-Ling Qi, Yu-Feng Liu
2018Technometrics0 citations Open access
Semantic Scholar

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