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#machine learning Preprint Sep 2026

Sequential Confidence Sets for Coverage-Constrained Conformal Model Selection

This work introduces Coverage-Constrained Sequential Model Confidence Sets (CC-SMCS), which separate certifiably feasible, possibly feasible, and possibly constrained-optimal pipelines and establishes an impossibility result for safe certification at the coverage boundary.

Jing Li, Hai-Bin Zhu · 0 citations

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