A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization

Abstract: Covariate-shift generalization, a typical case in out-of-distribution (OOD) generalization, requires a good performance on the unknown test distribution, which varies from the accessible training d...
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