orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization. - Ruoqing Zhu; Jiyang Zhang; Ruilin Zhao; Peng Xu; Wenzhuo Zhou; Xin Zhang (R J., 2019)

Quasi-optimal Reinforcement Learning with Continuous Actions. - Yuhan Li 005; Wenzhuo Zhou; Ruoqing Zhu (ICLR, 2023)

Bi-Level Offline Policy Optimization with Limited Exploration. - Wenzhuo Zhou (NeurIPS, 2023)

Quasi-optimal Learning with Continuous Treatments. - Yuhan Li 005; Wenzhuo Zhou; Ruoqing Zhu (CoRR, 2023)

Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework. - Wenzhuo Zhou; Yuhan Li 005; Ruoqing Zhu; Annie Qu (CoRR, 2023)

A Model-Agnostic Graph Neural Network for Integrating Local and Global Information. - Wenzhuo Zhou; Annie Qu; Keiland W. Cooper; Norbert Fortin; Babak Shahbaba (CoRR, 2023)

Stackelberg Batch Policy Learning. - Wenzhuo Zhou; Annie Qu (CoRR, 2023)

Stage-Aware Learning for Dynamic Treatments. - Hanwen Ye; Wenzhuo Zhou; Ruoqing Zhu; Annie Qu (CoRR, 2023)

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding. - Yuhan Li; Eugene Han; Yifan Hu; Wenzhuo Zhou; Zhengling Qi; Yifan Cui 001; Ruoqing Zhu (CoRR, 2025)