The Price of Correlated Tests: How Strict Should a Model Release Gate Be?
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.
By Marco PollanenarXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 2, 2026.
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