4 papers · 1 filter
Conformal Prediction with Stable Measurement Mechanisms
Seungjin Choi
In applications such as air-quality monitoring, inexpensive sensor readings can help predict pollutant concentrations measured by a separate reference instrument. We study how to a…
Anytime-Valid Evidence for Prespecified Predictive Corrections
Seungjin Choi
A predictive correction is a prespecified modification of an existing predictive distribution intended to reflect an anticipated change in future outcomes given their inputs, motiv…
Anytime-Valid Confirmation of Covariate Balance for Prespecified Corrections
Seungjin Choi
Many covariate-shift adaptation methods construct a correction , but users must still determine whether the corrected distribution is sufficiently balanced for the target str…
Conformal Bayes for Two-Sided Censored Gaussian Regression under Label Shift
Seungjin Choi
Prediction under label shift becomes nonstandard when responses are censored. In a two-sided censored Gaussian model, latent values below and above are recorded at the boun…