3 papers
stat.ME2026
Conformal Selective Prediction with General Risk Control
Tian Bai, Ying Jin
In deploying artificial intelligence (AI) models, selective prediction offers the option to abstain from making a prediction when uncertain about model quality. To fulfill its prom…
stat.ME2025
Multivariate Conformal Selection
Tian Bai, Yue Zhao, Xiang Yu +1
Selecting high-quality candidates from large datasets is critical in applications such as drug discovery, precision medicine, and alignment of large language models (LLMs). While C…
stat.ME2024
Optimized Conformal Selection: Powerful Selective Inference After Data-Dependent Score Construction
Tian Bai, Ying Jin
We study data-driven score construction in conformal selection, which uses conformal p-values and multiple testing to select "interesting" instances with large unobserved labels fr…