3 papers
cs.LG2026
ConfHit: Conformal Generative Design with Oracle Free Guarantees
Siddhartha Laghuvarapu, Ying Jin, Jimeng Sun
The success of deep generative models in scientific discovery requires not only the ability to generate novel candidates but also reliable guarantees that these candidates indeed s…
stat.ME2026
Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach
Mingyi Zheng, Ying Jin
Selective conformal prediction aims to construct prediction sets with valid coverage for a test unit conditional on it being selected by a data-driven mechanism. While existing met…
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…