AI RESEARCH
Bridging Conformal Prediction and Scenario Optimization: Discarded Constraints and Modular Risk Allocation
arXiv CS.LG
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ArXi:2603.19396v1 Announce Type: cross Scenario optimization and conformal prediction share a common goal, that is, turning finite samples into safety margins. Yet, different terminology often obscures the connection between their respective guarantees. This paper revisits that connection directly from a systems-and-control viewpoint. Building on the recent conformal/scenario bridge of \citet{OSullivanRomaoMargellos2026}, we extend the forward direction to feasible sample-and-discard scenario algorithms.