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 Conformity Score Optimization
Tian Bai, Ying Jin
Model selection/optimization in conformal inference is challenging, since it may break the exchangeability between labeled and unlabeled data. We study this problem in the context…