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The Price of Correlated Tests: How Strict Should a Model Release Gate Be?

Pollanen, Marco
arXiv (All) · Papers
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g-3i-2-6machine-learningmethodology
Before a machine learning model ships, it often has to pass a suite of automated tests. Requiring every test to pass looks safe, yet it can reject many models that would have served users well, and it does not say how trustworthy a passing model actually is. We treat the release gate as a design pro
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