EconBase
← All authors

Ruoxuan Xiong

Emory University (from arXiv:2406.06768, 2024) · ORCID · OpenAlex

20 papers in scope · 16 published · 8 on the econ.EM arXiv · 331 citations · h-index 8 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Markus Pelger
  2. Sadegh Shirani
  3. Mohsen Bayati
  4. William Overman
  5. Yuwei Luo
  6. Inessa Liskovich
  7. Gabriel Y. Weintraub
  8. Ramesh Johari
  9. Hannah Li
  10. Guido W. Imbens
  11. Ercument Cahan
  12. Jushan Bai
  13. Qihui Chen
  14. Serena Ng
  15. Sean J. Taylor
  16. Alex Chin
  17. Nian Si
  18. Sinan Aral
  19. David Holtz
  20. Andrew Zheng

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(10 of 20)

Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
published2026 · Journal of Business and Economic Statistics · 8 citations · first circulated 2021
with Zhaonan Qu, Jizhou Liu, Guido Imbens, Guido W. Imbens
Paper profile Journal of Business and Economic Statistics arXiv:2107.12420
Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models
working paper2026 · arXiv
with Hongyu Chen, David Simchi-Levi
Paper profile arXiv arXiv:2602.16061
Learning double balancing representation for heterogeneous dose–response curve estimation
published2025 · Neural Networks
with Minqin Zhu, Anpeng Wu, Haoxuan Li, Bo Li, Fei Wu, Kun Kuang
Neural Networks
Instrumental Variables in Causal Inference and Machine Learning: A Survey
published2025 · ACM Computing Surveys · 12 citations · first circulated 2022
with Anpeng Wu, Kun Kuang, Fei Wu
ACM Computing Surveys
Can We Validate Counterfactual Estimations in the Presence of General Network Interference?
working paper2025 · arXiv
with Sadegh Shirani, Yuwei Luo, William Overman, Mohsen Bayati
Paper profile arXiv arXiv:2502.01106
Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders
published2024 · IEEE Transactions on Knowledge and Data Engineering · 2 citations
with Ziyu Zhao, Anpeng Wu, Kun Kuang, Bo Li, Zhihua Wang, Fei Wu
IEEE Transactions on Knowledge and Data Engineering
Higher-Order Causal Message Passing for Experimentation with Complex Interference
working paper2024 · arXiv · 1 citations
with Mohsen Bayati, Yuwei Luo, William Overman, Sadegh Shirani
Paper profile arXiv arXiv:2411.00945
Learning Individual Treatment Effects under Heterogeneous Interference in Networks
published2024 · ACM Transactions on Knowledge Discovery from Data · 6 citations · first circulated 2022
with Ziyu Zhao, Yuqi Bai, Qingyu Cao, Chao Ma, Ning Jiang, Fei Wu, Kun Kuang
ACM Transactions on Knowledge Discovery from Data
Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs
working paper2024 · arXiv · 3 citations · first circulated 2023
with Alex Chin, Sean J. Taylor
Paper profile arXiv arXiv:2406.06768
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
published2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 6 citations
with Minqin Zhu, Anpeng Wu, Haoxuan Li, Bo Li, Xiaoqing Yang, Xuan Qin, Zhen Peng, Jiecheng Guo, Fei Wu, Kun Kuang
Proceedings of the AAAI Conference on Artificial Intelligence
Optimal Experimental Design for Staggered Rollouts
published2023 · Management Science · 22 citations · first circulated 2019
with Susan Athey, Mohsen Bayati, Guido W. Imbens
Paper profile Management Science arXiv:1911.03764
Target PCA: Transfer learning large dimensional panel data
published2023 · Journal of Econometrics · 8 citations · first circulated 2022
with Junting Duan, Markus Pelger
Paper profile Journal of Econometrics arXiv:2308.15627
Federated causal inference in heterogeneous observational data
published2023 · Statistics in Medicine · 31 citations · first circulated 2021
with Allison Koenecke, Michael Powell, Zhu Shen, Joshua T Vogelstein, Susan Athey
Paper profile Statistics in Medicine arXiv:2107.11732
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
published2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 4 citations · first circulated 2022
with Anpeng Wu, Kun Kuang, Minqin Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu, Minqing Zhu
Proceedings of the AAAI Conference on Artificial Intelligence
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders
published2023 · ACM Transactions on Knowledge Discovery from Data · 9 citations · first circulated 2021
with Junkun Yuan, Xu Ma, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
ACM Transactions on Knowledge Discovery from Data
Large dimensional latent factor modeling with missing observations and applications to causal inference
published2022 · Journal of Econometrics · 63 citations · first circulated 2019
with Markus Pelger
Paper profile Journal of Econometrics arXiv:1910.08273
Interpretable Sparse Proximate Factors for Large Dimensions
published2021 · Journal of Business and Economic Statistics · 31 citations · first circulated 2018
with Markus Pelger
Journal of Business and Economic Statistics
Ten Rules for Conducting Retrospective Pharmacoepidemiological Analyses: Example COVID-19 Study
published2021 · Frontiers in Pharmacology · 5 citations · first circulated 2020
with Michael Powell, Allison Koenecke, James Brian Byrd, Akihiko Nishimura, Maximilian F. Konig, Sadiqa Mahmood, Vera Mucaj, Chetan Bettegowda, Liam Rose, Suzanne Tamang, Adam Sacarny, Brian Caffo, …
Frontiers in Pharmacology
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
published2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 113 citations
with Kun Kuang, Peng Cui, Susan Athey, Bo Li
Proceedings of the AAAI Conference on Artificial Intelligence
State-Varying Factor Models of Large Dimensions
published2018 · Journal of Business and Economic Statistics · 7 citations
with Markus Pelger
Paper profile Journal of Business and Economic Statistics arXiv:1807.02248

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.