Tom Ginsberg

A Learning Based Hypothesis Test for Harmful Covariate Shift

The ability to quickly and accurately identify covariate shift at test time is a critical and often overlooked component of safe machine learning systems deployed in high-risk domains. While methods exist for detecting when predictions should not be made on out-of-distribution test examples, identif…