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ORCIDZhengling Qi
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2020 – today
- 2024
[c11]Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi:
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards. AISTATS 2024: 541-549- [c10]Mao Hong, Zhengling Qi, Yanxun Xu:
A Policy Gradient Method for Confounded POMDPs. ICLR 2024 - [c9]Mao Hong, Zhengling Qi, Yanxun Xu:
Model-based Reinforcement Learning for Confounded POMDPs. ICML 2024 - [c8]Jiayi Wang, Zhengling Qi, Raymond K. W. Wong:
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models. ICML 2024 - [i24]Sungee Hong, Zhengling Qi, Raymond K. W. Wong:
Distributional Off-policy Evaluation with Bellman Residual Minimization. CoRR abs/2402.01900 (2024) - 2023
- [c7]Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li:
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach. AISTATS 2023: 6704-6721 - [c6]Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh:
PASTA: Pessimistic Assortment Optimization. ICML 2023: 8276-8295 - [c5]Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen:
Pessimistic Model Selection for Offline Deep Reinforcement Learning. UAI 2023: 2379-2389 - [i23]Chengchun Shi, Zhengling Qi
, Jianing Wang, Fan Zhou:
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization. CoRR abs/2301.02220 (2023) - [i22]Xiaohong Chen, Zhengling Qi, Runzhe Wan:
STEEL: Singularity-aware Reinforcement Learning. CoRR abs/2301.13152 (2023) - [i21]Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh:
PASTA: Pessimistic Assortment Optimization. CoRR abs/2302.03821 (2023) - [i20]Rui Miao, Zhengling Qi, Cong Shi, Lin Lin:
Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning. CoRR abs/2302.12670 (2023) - [i19]Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber:
Sequential Knockoffs for Variable Selection in Reinforcement Learning. CoRR abs/2303.14281 (2023) - [i18]Mao Hong, Zhengling Qi, Yanxun Xu:
A Policy Gradient Method for Confounded POMDPs. CoRR abs/2305.17083 (2023) - [i17]Zeyu Bian, Chengchun Shi, Zhengling Qi, Lan Wang:
Off-policy Evaluation in Doubly Inhomogeneous Environments. CoRR abs/2306.08719 (2023) - [i16]Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi:
Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards. CoRR abs/2310.18715 (2023) - 2022
- [j4]Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang:
Asymptotic Properties of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization. Math. Oper. Res. 47(3): 2034-2064 (2022) - [c4]Xiaohong Chen, Zhengling Qi:
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation. ICML 2022: 3558-3582 - [c3]Rui Miao, Zhengling Qi, Xiaoke Zhang:
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models. NeurIPS 2022 - [c2]Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang:
RISE: Robust Individualized Decision Learning with Sensitive Variables. NeurIPS 2022 - [i15]Xiaohong Chen, Zhengling Qi:
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation. CoRR abs/2201.06169 (2022) - [i14]Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok:
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes. CoRR abs/2209.08666 (2022) - [i13]Rui Miao, Zhengling Qi, Xiaoke Zhang:
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models. CoRR abs/2209.10064 (2022) - [i12]Jiayi Wang, Zhengling Qi, Chengchun Shi:
Blessing from Experts: Super Reinforcement Learning in Confounded Environments. CoRR abs/2209.15448 (2022) - [i11]Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li:
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach. CoRR abs/2210.14420 (2022) - [i10]Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang:
RISE: Robust Individualized Decision Learning with Sensitive Variables. CoRR abs/2211.06569 (2022) - [i9]Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang:
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. CoRR abs/2212.12167 (2022) - 2021
- [i8]Zhengling Qi, Rui Miao, Xiaoke Zhang:
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding. CoRR abs/2105.01187 (2021) - [i7]Jiayi Wang, Zhengling Qi, Raymond K. W. Wong:
Projected State-action Balancing Weights for Offline Reinforcement Learning. CoRR abs/2109.04640 (2021) - [i6]Weibin Mo, Zhengling Qi, Yufeng Liu:
Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules. CoRR abs/2110.08936 (2021) - [i5]Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen:
Pessimistic Model Selection for Offline Deep Reinforcement Learning. CoRR abs/2111.14346 (2021) - 2020
- [i4]Weibin Mo, Zhengling Qi, Yufeng Liu:
Learning Optimal Distributionally Robust Individualized Treatment Rules. CoRR abs/2006.15121 (2020) - [i3]Zhengling Qi, Peng Liao:
Robust Batch Policy Learning in Markov Decision Processes. CoRR abs/2011.04185 (2020)
2010 – 2019
- 2019
- [b1]Zhengling Qi:
Some Contributions to Data Driven Individualized Decision Making Problems. University of North Carolina, Chapel Hill, USA, 2019 - [j3]Jinyang Zheng, Zhengling Qi, Yifan Dou, Yong Tan:
How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model. Inf. Syst. Res. 30(4): 1343-1362 (2019) - [j2]Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang:
Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes. SIAM J. Optim. 29(3): 2337-2362 (2019) - [j1]Zhengling Qi, Yufeng Liu:
Convex Bidirectional Large Margin Classifiers. Technometrics 61(2): 176-186 (2019) - [i2]Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang:
Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes. CoRR abs/1908.10742 (2019) - [i1]Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang:
Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization. CoRR abs/1910.02488 (2019) - 2015
- [c1]Pin-Yu Chen, Zhengling Qi, Yanxin Pan, Shin-Ming Cheng:
Multivariate and Categorical Analysis of Gaming Statistics. NBiS 2015: 286-293
Coauthor Index
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