Sorted by year and student last name
Year |
Student |
University |
Paper Title |
| 2025 | Elaine Chiu | University of Wisconsin-Madison |
Exact Sensitivity Analysis for Observational Studies of Contingency Tables |
| 2025 | Shubhangi Ghosh | Columbia University |
Signal-to-noise ratio aware minimax analysis of sparse linear regression |
| 2025 | Wenbo Jing | New York University |
Data-Driven Knowledge Transfer in Batch Q^* Learning |
| 2025 | Xindi Lin | University of Wisconsin-Madison |
Efficient estimation of semiparametric spatial point processes with V-fold random thinning |
| 2025 | Xinran Miao | University of Wisconsin-Madison |
Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2025 Ad Campaigns? |
| 2025 | Shi Bo | Boston University |
A Debiased Estimator for the Mediation Functional in Ultra-High-Dimensional Setting in the Presence of Interaction Effects |
| 2025 | Xin Yang | University of Connecticut |
Integrative Learning of Quantum Dot Intensity Fluctuations under Excitation via Tailored Dynamic Mixture Modeling |
| 2025 | Jianan Zhu | New York University |
Randomization-Based Inference for Average Treatment Effects in Inexactly Matched Observational Studies |
In addition, the Best Presentation Awards are presented to:
Chengpiao Huang (Columbia University) for “Uncertainty Quantification for LLM-Based Survey Simulations”
Yi Liu (North Carolina State University) for “Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift”
