Factor Analysis for Large Non-Stationary Panels with Endogenous Missingness and Applications to Causal Inference [slides] J. Duan*, M. Pelger*, R. Xiong* Management Science, accepted
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference [slides] [talk] [code] Z. Qu*, R. Xiong*, J. Liu*, G. Imbens Journal of Business & Economic Statistics, accepted
Optimal Experimental Design for Staggered Rollouts [slides] [code] R. Xiong, S. Athey, M. Bayati, G. Imbens Management Science, 2024, 70(8), 5317-5336 Finalist, MSOM Student Paper Competition, 2020
Target PCA: Transfer Learning Large Dimensional Panel Data [slides] Internet Appendix J. Duan*, M. Pelger*, R. Xiong* Journal of Econometrics, 2024, 244(2), 105521
Federated Causal Inference in Heterogeneous Observational Data [slides] [code] [lay abstract] R. Xiong, A. Koenecke, M. Powell, Z. Shen, J. T. Vogelstein, S. Athey Statistics in Medicine, 2023, 1–22, doi: 10.1002/sim.9868
Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference [slides] Internet Appendix R. Xiong, M. Pelger Journal of Econometrics, 2023, 233(1), 271-301 Honorable Mention, George Nicholson Student Paper Competition, 2019
Interpretable Sparse Proximate Factors for Large Dimensions [slides] M. Pelger*, R. Xiong* Journal of Business & Economic Statistics, 2022, 40(4), 1642-1664
State-Varying Factor Models of Large Dimensions [slides] Internet Appendix M. Pelger*, R. Xiong* Journal of Business & Economic Statistics, 2022, 40(3), 1315-1333
Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution Z. Zhang, R. Xiong, H. Zhang NeurIPS 2026
Structured Kernel Surrogate Models for Multimodal Attribution Z. Zhang, Z. Zhang, J. Lu, R. Xiong, Y. Fu, and H. Zhang NeurIPS 2026
Two-Sided State-Space Models for Sequential Recommendation with Non-Random Multimodal Review Feedback Z. Pan, Z. Liang, R. Xiong Findings of EMNLP 2026
Long-Context Demonstration Selection Using Grouped State Space Models Z. Zhang, Z. Zhang, R. Xiong, G. Cooperman, H. Zhang Findings of EMNLP 2026
Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness Z. Liang, Z. Pan, R. Xiong Findings of ACL 2026
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness Z. Liang, Z. Pan, R. Xiong EMNLP 2025
Higher-Order Causal Message Passing for Experimentation Under Unknown Interference M. Bayati*, Y. Luo*, W. Overman*, S. Shirani*, R. Xiong* NeurIPS 2024
Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias B. Li, A. Wu, R. Xiong, K. Kuang ICML 2024
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias B. Li, H. Li, R. Xiong, A. Wu, F. Wu, K. Kuang ICML 2024
Stable Estimation of Heterogeneous Treatment Effects A. Wu, K. Kuang, R. Xiong, B. Li, F. Wu ICML 2023
Stable Prediction with Model Misspecification and Agnostic Distribution Shift K. Kuang, R. Xiong, P. Cui, S. Athey, B. Li AAAI 2020
Stable Predictions across Unknown Environments K. Kuang, P. Cui, S. Athey, B. Li, R. Xiong KDD 2018 (oral)
Deep Learning Stock Volatility with Google Domestic Trends R. Xiong, E. Nichols, Y. Shen