Ruoxuan Xiong

Orcid: 0000-0002-3701-4428

According to our database1, Ruoxuan Xiong authored at least 23 papers between 2018 and 2024.

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Bibliography

2024
Learning Individual Treatment Effects under Heterogeneous Interference in Networks.
ACM Trans. Knowl. Discov. Data, September, 2024

Optimal Experimental Design for Staggered Rollouts.
Manag. Sci., 2024

Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression.
CoRR, 2024

Causal Inference with Complex Treatments: A Survey.
CoRR, 2024

Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs.
CoRR, 2024

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects.
CoRR, 2024

Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Stable Prediction With Leveraging Seed Variable.
IEEE Trans. Knowl. Data Eng., June, 2023

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders.
ACM Trans. Knowl. Discov. Data, 2023

Bias-Variance Tradeoffs for Designing Simultaneous Temporal Experiments.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Stable Estimation of Heterogeneous Treatment Effects.
Proceedings of the International Conference on Machine Learning, 2023

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Instrumental Variables in Causal Inference and Machine Learning: A Survey.
CoRR, 2022

Confounder Balancing for Instrumental Variable Regression with Latent Variable.
CoRR, 2022

Learning Individual Treatment Effects under Heterogeneous Interference in Networks.
CoRR, 2022

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.
CoRR, 2022

2021
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.
CoRR, 2021

Federated Causal Inference in Heterogeneous Observational Data.
CoRR, 2021

2020
Stable Prediction with Model Misspecification and Agnostic Distribution Shift.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A tractable ellipsoidal approximation for voltage regulation problems.
Proceedings of the 2019 American Control Conference, 2019

2018
Stable Prediction across Unknown Environments.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018


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