2025
Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
NeurIPS 2025poster
We consider the problem of conformal prediction under covariate shift. Given labeled data from a source domain and unlabeled data from a covariate shifted target domain, we seek to construct prediction sets with valid marginal coverage in the target domain. Most existing methods require estimating t…