Ruoxuan Xiong

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Theoretical Issues

Abductive Reasoning

Observational Data

Top Venues

Publications

Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang
Causal Inference with Complex Treatments: A Survey. CoRR (2024)
Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. CoRR (2024)
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. AAAI (2024)
Ruoxuan Xiong, Alex Chin, Sean J. Taylor
Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs. CoRR (2024)
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. CoRR (2024)
Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI (2023)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
Stable Estimation of Heterogeneous Treatment Effects. ICML (2023)
Ruoxuan Xiong, Alex Chin, Sean Taylor
Bias-Variance Tradeoffs for Designing Simultaneous Temporal Experiments. CDPD (2023)
Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Ziyu Zhao, Kun Kuang, Ruoxuan Xiong, Fei Wu
Learning Individual Treatment Effects under Heterogeneous Interference in Networks. CoRR (2022)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu
Instrumental Variables in Causal Inference and Machine Learning: A Survey. CoRR (2022)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
Confounder Balancing for Instrumental Variable Regression with Latent Variable. CoRR (2022)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. CoRR (2022)
Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. CoRR (2021)
Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey
Federated Causal Inference in Heterogeneous Observational Data. CoRR (2021)
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. CoRR (2020)
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. AAAI (2020)
Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
A tractable ellipsoidal approximation for voltage regulation problems. ACC (2019)
Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
A tractable ellipsoidal approximation for voltage regulation problems. CoRR (2019)
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
Stable Prediction across Unknown Environments. CoRR (2018)
Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
Stable Prediction across Unknown Environments. KDD (2018)