4 papers · 1 filter
Conformal Bayes under Continuous Label Shift: Sensitivity Analysis and the Limits of Exact Validity
Seungjin Choi
Conformal Bayes combines Bayesian posterior predictive scores with conformal calibration, but under continuous label shift both the score and calibration weight depend on the unkno…
Conformal Bayes under Label Shift: Post-Hoc Calibration vs. In-Training Adaptation
Seungjin Choi
Conformal Bayes combines Bayesian posterior predictives with conformal calibration to produce prediction sets that are both statistically valid and geometrically efficient. We stud…
Conformal Candidate Certification for Offline Model-Based Optimization
Seungjin Choi
Offline model-based optimization (MBO) proposes candidates by optimizing a surrogate trained on a fixed historical dataset. Because candidates are deliberately out-of-distribution,…
Anytime-Valid Confirmation of Label-Shift Corrections
Seungjin Choi
In small-batch scientific deployments, labeled target outcomes may be too scarce for reliable shift estimation even when unlabeled target inputs are available. We address the compl…