Dong, Juncheng

11 publications

UAI 2025 CATE Estimation with Potential Outcome Imputation from Local Regression Ahmed Aloui, Juncheng Dong, Cat Phuoc Le, Vahid Tarokh

UAI 2025 Conditional Average Treatment Effect Estimation Under Hidden Confounders Ahmed Aloui, Juncheng Dong, Ali Hasan, Vahid Tarokh

ICML 2025 In-Context Reinforcement Learning from Suboptimal Historical Data Juncheng Dong, Moyang Guo, Ethan X Fang, Zhuoran Yang, Vahid Tarokh

TMLR 2025 Understanding and Robustifying Sub-Domain Alignment for Domain Adaptation Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David Carlson

AISTATS 2025 Variational Adversarial Training Towards Policies with Improved Robustness Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic

ICMLW 2024 In-Context Reinforcement Learning Without Optimal Action Labels Juncheng Dong, Moyang Guo, Ethan X Fang, Zhuoran Yang, Vahid Tarokh

NeurIPS 2023 Off-Policy Evaluation for Human Feedback Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic

ICML 2023 PASTA: Pessimistic Assortment Optimization Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X Fang, Vahid Tarokh

UAI 2023 Transfer Learning for Individual Treatment Effect Estimation Ahmed Aloui, Juncheng Dong, Cat P Le, Vahid Tarokh

ICLR 2022 Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh

ICLR 2022 Task Affinity with Maximum Bipartite Matching in Few-Shot Learning Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh