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Dong, Juncheng
13 publications
ICLR
2026
STARK: Strategic Team of Agents for Refining Kernels
Juncheng Dong
,
Yang Yang
,
Tao Liu
,
Yang Wang
,
Feng Qi
,
Vahid Tarokh
,
Kaushik Rangadurai
,
Shuang Yang
TMLR
2026
Synergizing Deconfounding and Temporal Generalization for Time-Series Counterfactual Outcome Estimation
Yiling Liu
,
Juncheng Dong
,
Chen Fu
,
Wei Shi
,
Ziyang Jiang
,
Qi Xu
,
Zhigang Hua
,
David Carlson
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