Zeng, Donglin

9 publications

JMLR 2025 Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection Daiqi Gao, Yufeng Liu, Donglin Zeng

AISTATS 2024 Fusing Individualized Treatment Rules Using Secondary Outcomes Daiqi Gao, Yuanjia Wang, Donglin Zeng

JMLR 2024 Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls Mochuan Liu, Yuanjia Wang, Haoda Fu, Donglin Zeng

JMLR 2023 Learning Optimal Group-Structured Individualized Treatment Rules with Many Treatments Haixu Ma, Donglin Zeng, Yufeng Liu

NeurIPS 2022 Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion Haixu Ma, Donglin Zeng, Yufeng Liu

JMLR 2022 Non-Asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials Daiqi Gao, Yufeng Liu, Donglin Zeng

NeurIPS 2021 Dynamic COVID Risk Assessment Accounting for Community Virus Exposure from a Spatial-Temporal Transmission Model Yuan Chen, Wenbo Fei, Qinxia Wang, Donglin Zeng, Yuanjia Wang

NeurIPS 2020 Representation Learning for Integrating Multi-Domain Outcomes to Optimize Individualized Treatment Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang

JMLR 2016 Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes Yuanjia Wang, Tianle Chen, Donglin Zeng