Underspecification Presents Challenges for Credibility in Machine Learning

ML models often exhibit unexpectedly poor behavior when they are deployed in
real-world domains. We identify underspecification as a key reason for these
failures. An ML pipeline is underspecified when it can return many predictors
with equivalently stron… Read more

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