Overparameterization Improves Robustness to Covariate Shift in High Dimensions Nilesh Tripuraneni U.C. Berkeley

Neural Information Processing Systems 

Our results motivate a natural partial order over covariate shifts that provides a sufficient condition for determining when the shift will harm (or even help) test performance.

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