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The Price of Choice in Selective Prediction

Cieślak, Daniel et al.
arXiv (All) · Papers
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68t05g-3i-2-6machine-learning
A selective classifier may be claimed to satisfy a risk-coverage contract if some rule from a predeclared menu (a threshold or a union of $K$ score intervals) attains coverage at least $κ$ and error at most $α$. Refuting this existential claim requires ruling out every permitted rule. The intersecti
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