Ruoxuan Xiong

According to our database, Ruoxuan Xiong authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects.

Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang

CoRR, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Stable Prediction With Leveraging Seed Variable.

Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li

IEEE Trans. Knowl. Data Eng., June, 2023

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders.

Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang

ACM Trans. Knowl. Discov. Data, 2023

Bias-Variance Tradeoffs for Designing Simultaneous Temporal Experiments.

Ruoxuan Xiong, Alex Chin, Sean Taylor

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Stable Estimation of Heterogeneous Treatment Effects.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Instrumental Variables in Causal Inference and Machine Learning: A Survey.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu

CoRR, 2022

Confounder Balancing for Instrumental Variable Regression with Latent Variable.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu

CoRR, 2022

Learning Individual Treatment Effects under Heterogeneous Interference in Networks.

Ziyu Zhao, Kun Kuang, Ruoxuan Xiong, Fei Wu

CoRR, 2022

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

CoRR, 2022

2021

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.

Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin

CoRR, 2021

Federated Causal Inference in Heterogeneous Observational Data.

Ruoxuan Xiong, Allison Koenecke, Michael A. Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey

CoRR, 2021

2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift.

Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A tractable ellipsoidal approximation for voltage regulation problems.

Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang

Proceedings of the 2019 American Control Conference, 2019

2018

Stable Prediction across Unknown Environments.

Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018