Augmented Inverse Hybrid Weighting: Robust Inference under Deterministic and Random Distribution Shifts
Reweighting source samples to match a target covariate distribution is a standard response to distribution shift when generalizing evidence from one population to another. This strategy is well suited to deterministic, learnable covariate discrepancies, but can be insufficient when source--target population differences...