Chen, Weilin

6 publications

ICLR 2026 Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference Yuguang Yan, Haolin Yang, Zecong Chen, Weilin Chen, Ruichu Cai, Zhifeng Hao

ICLR 2026 Matching Without Group Barrier for Heterogeneous Treatment Effect Estimation Yuguang Yan, Haolin Yang, Shihao Zhang, Weilin Chen, Ruichu Cai, Zhifeng Hao

IJCAI 2025 Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo

ICML 2024 Doubly Robust Causal Effect Estimation Under Networked Interference via Targeted Learning Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao

AAAI 2024 Exploiting Geometry for Treatment Effect Estimation via Optimal Transport Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng

ICML 2024 Reducing Balancing Error for Causal Inference via Optimal Transport Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao