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Zhengling Qi

Yale University (from arXiv:2301.13152, 2023) · ORCID · OpenAlex

25 papers in scope · 20 published · 5 on the econ.EM arXiv · 305 citations · h-index 9 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Runzhe Wan
  2. Haoyu Wei
  3. Rui Song
  4. Lei Shi
  5. Wei-Chen Wang
  6. Nishanth Dikkala
  7. Siyu Chen
  8. Zhuoran Yang
  9. Cong Shi
  10. Rui Miao
  11. Lin Lin
  12. Lester Mackey
  13. Huiming Zhang
  14. Xiaohong Chen
  15. Pengjie Zhou
  16. Greg Lewis
  17. Demián Pouzo
  18. Zeqi Wu
  19. Vasilis Syrgkanis
  20. Guang Cheng

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(5 of 25)

Sequential Knockoffs for Variable Selection in Reinforcement Learning
published2026 · Journal of the American Statistical Association · 1 citations
with Tao Ma, Jin Zhu, Hengrui Cai, Yunxiao Chen, Chengchun Shi, Eric B. Laber
Journal of the American Statistical Association
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
published2025 · Journal of the American Statistical Association
with Yuhan Li, Eugene Han, Yifan Hu, Wenzhuo Zhou, Yifan Cui, Ruoqing Zhu
Journal of the American Statistical Association
Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments
published2025 · Journal of the American Statistical Association · 1 citations · first circulated 2022
with Jiayi Wang, Chengchun Shi
Journal of the American Statistical Association
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information
published2025 · Management Science · 2 citations · first circulated 2022
with Zuyue Fu, Zhuoran Yang, Zhaoran Wang, Lan Wang
Management Science
Quantile-Optimal Policy Learning under Unmeasured Confounding
working paper2025 · arXiv
with Zhongren Chen, Siyu Chen, Xiaohong Chen, Zhuoran Yang
Paper profile arXiv arXiv:2506.07140
Distributional Off-Policy Evaluation in Reinforcement Learning
published2025 · Journal of the American Statistical Association · 1 citations
with Chenjia Bai, Zhaoran Wang, Lan Wang
Journal of the American Statistical Association
Offline Feature-Based Pricing Under Censored Demand: A Causal Inference Approach
published2025 · Manufacturing & Service Operations Management · 9 citations
with Jingwen Tang, Ethan X. Fang, Cong Shi
Manufacturing & Service Operations Management
Off-Policy Evaluation in Doubly Inhomogeneous Environments
published2024 · Journal of the American Statistical Association · 5 citations · first circulated 2023
with Zeyu Bian, Chengchun Shi, Lan Wang
Journal of the American Statistical Association
Change Point Detection for High-dimensional Linear Models: A General Tail-adaptive Approach
published2024 · Statistica Sinica · 3 citations · first circulated 2022
with Bin Liu, Xinsheng Zhang, Yufeng Liu
Statistica Sinica
Projected state-action balancing weights for offline reinforcement learning
published2023 · The Annals of Statistics · 4 citations · first circulated 2021
with Jiayi Wang, Raymond Chi-Wing Wong
The Annals of Statistics
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization
published2023 · Journal of the American Statistical Association · 4 citations
with Chengchun Shi, Jianing Wang, Fan Zhou
Journal of the American Statistical Association
A Policy Gradient Method for Confounded POMDPs
working paper2023 · arXiv
with Mao Hong, Yanxun Xu
Paper profile arXiv arXiv:2305.17083
Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning
working paper2023 · arXiv · 4 citations
with Rui Miao, Cong Shi, Lin Lin
Paper profile arXiv arXiv:2302.12670
STEEL: Singularity-aware Reinforcement Learning
working paper2023 · arXiv
with Xiaohong Chen, Runzhe Wan
Paper profile arXiv arXiv:2301.13152
Batch policy learning in average reward Markov decision processes
published2022 · The Annals of Statistics · 17 citations · first circulated 2020
with Peng Liao, Runzhe Wan, Predrag Klasnja, Susan A. Murphy, Susan Murphy
The Annals of Statistics
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
published2022 · Journal of the American Statistical Association · 18 citations · first circulated 2021
with Rui Miao, Xiaoke Zhang
Journal of the American Statistical Association
On Robustness of Individualized Decision Rules
published2022 · Journal of the American Statistical Association · 12 citations · first circulated 2019
with Jong-Shi Pang, Yufeng Liu
Journal of the American Statistical Association
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
working paper2022 · arXiv · 5 citations
with Xiaohong Chen
Paper profile arXiv arXiv:2201.06169
Learning Optimal Distributionally Robust Individualized Treatment Rules
published2020 · Journal of the American Statistical Association · 35 citations
with Weibin Mo, Yufeng Liu
Journal of the American Statistical Association
How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model
published2019 · Information Systems Research · 44 citations
with Jinyang Zheng, Yifan Dou, Yong Tan
Information Systems Research
Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes
published2019 · 18 citations
with Ying Cui, Yufeng Liu, Jong-Shi Pang
publisher
Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes
published2018 · Journal of the American Statistical Association · 56 citations
with Dacheng Liu, Haoda Fu, Yufeng Liu
Journal of the American Statistical Association
Convex Bidirectional Large Margin Classifiers
published2018 · Technometrics
with Yufeng Liu
Technometrics
D-learning to estimate optimal individual treatment rules
published2018 · Electronic Journal of Statistics · 40 citations
with Yufeng Liu
Electronic Journal of Statistics
Scaling of global input–output networks
published2016 · Physica A Statistical Mechanics and its Applications · 26 citations
with Sai Liang, Shen Qu, Ji Zhu, Anthony S.F. Chiu, Xiaoping Jia, Ming Xu
Physica A Statistical Mechanics and its Applications

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.