2024
Not all distributional shifts are equal: Fine-grained robust conformal inference
ICML 2024poster
We introduce a fine-grained framework for uncertainty quantification of predictive models under distributional shifts. This framework distinguishes the shift in covariate distributions from that in the conditional relationship between the outcome ($Y$) and the covariates ($X$). We propose to reweigh…