Li, Baohong

5 publications

ICML 2025 Generalizing Causal Effects from Randomized Controlled Trials to Target Populations Across Diverse Environments Baohong Li, Yingrong Wang, Anpeng Wu, Ming Ma, Ruoxuan Xiong, Kun Kuang

ICML 2025 Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang

ICML 2024 A Generative Approach for Treatment Effect Estimation Under Collider Bias: From an Out-of-Distribution Perspective Baohong Li, Haoxuan Li, Anpeng Wu, Minqin Zhu, Shiyuan Peng, Qingyu Cao, Kun Kuang

ICML 2024 Learning Shadow Variable Representation for Treatment Effect Estimation Under Collider Bias Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang

ICML 2024 Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference Under Latent Confounding and Collider Bias Baohong Li, Anpeng Wu, Ruoxuan Xiong, Kun Kuang