Xingxuan Zhang

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

2021 · arXiv (Cornell University)

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 distribution in the form of covariate shift. Recently, independence-driven importance weighting …