Although they are not typically thought of in the context of estimating proportions, several methods have been proposed to deal directly with the problem of covariate shift, including kernel mean matching and its extensions (Huang et al., 2006;Sugiyama et al., 2011).
we select regularization strength via grid search, choosing the value that leads to the lowest average calibration error across training / held-out splits.