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Available Guardrails: Certifying Selective Prediction across ML Systems

Priye, Parivesh et al.
arXiv (All) · Papers
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machine-learning
A selective predictor acts as a safety gate: it returns an output only when the prediction appears sufficiently trustworthy. Deployments increasingly require this reliability to be certified at a target precision for every reporting unit of interest, such as a tool, policy label, or patient subgroup
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