Zhengling Qi

Orcid: 0000-0003-0270-7969

According to our database1, Zhengling Qi authored at least 32 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Distributional Off-policy Evaluation with Bellman Residual Minimization.
CoRR, 2024

A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Model-based Reinforcement Learning for Confounded POMDPs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Policy Gradient Method for Confounded POMDPs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Robust Offline Reinforcement Learning with Heavy-Tailed Rewards.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards.
CoRR, 2023

Off-policy Evaluation in Doubly Inhomogeneous Environments.
CoRR, 2023

Sequential Knockoffs for Variable Selection in Reinforcement Learning.
CoRR, 2023

Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning.
CoRR, 2023

STEEL: Singularity-aware Reinforcement Learning.
CoRR, 2023

Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization.
CoRR, 2023

Pessimistic Model Selection for Offline Deep Reinforcement Learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

PASTA: Pessimistic Assortment Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Asymptotic Properties of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization.
Math. Oper. Res., 2022

Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information.
CoRR, 2022

Blessing from Experts: Super Reinforcement Learning in Confounded Environments.
CoRR, 2022

Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes.
CoRR, 2022

RISE: Robust Individualized Decision Learning with Sensitive Variables.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation.
Proceedings of the International Conference on Machine Learning, 2022

2021
Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules.
CoRR, 2021

Projected State-action Balancing Weights for Offline Reinforcement Learning.
CoRR, 2021

Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding.
CoRR, 2021

2020
Robust Batch Policy Learning in Markov Decision Processes.
CoRR, 2020

Learning Optimal Distributionally Robust Individualized Treatment Rules.
CoRR, 2020

2019
Some Contributions to Data Driven Individualized Decision Making Problems.
PhD thesis, 2019

Convex Bidirectional Large Margin Classifiers.
Technometrics, 2019

Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes.
SIAM J. Optim., 2019

How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model.
Inf. Syst. Res., 2019

Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization.
CoRR, 2019

2015
Multivariate and Categorical Analysis of Gaming Statistics.
Proceedings of the 18th International Conference on Network-Based Information Systems, 2015


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