Conformal Risk Minimization with Variance Reduction

Conformal prediction (CP) is a distribution-free framework for achieving probabilistic guarantees on black-box models. CP is generally applied to a model post-training. Recent research efforts, on the other hand, have focused on optimizing CP efficiency during training. We formalize this concept as...

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Bibliographische Detailangaben

Hauptverfasser:	Noorani, Sima, Romero, Orlando, Fabbro, Nicolo Dal, Hassani, Hamed, Pappas, George J
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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