Xiong, Ruoxuan

10 publications

ICLR 2025 Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang

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

AAAI 2024 Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang

NeurIPS 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference Mohsen Bayati, Yuwei Luo, William Overman, Sadegh Shirani, Ruoxuan Xiong

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

AAAI 2023 Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

ICML 2023 Stable Estimation of Heterogeneous Treatment Effects Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu

AAAI 2020 Stable Prediction with Model Misspecification and Agnostic Distribution Shift Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li