Neural Conditional Probability for Inference

We introduce NCP (Neural Conditional Probability), a novel operator-theoretic approach for learning conditional distributions with a particular focus on inference tasks. NCP can be used to build conditional confidence regions and extract important statistics like conditional quantiles, mean, and cov...

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Bibliographic Details
Main Authors Kostic, Vladimir R, Lounici, Karim, Pacreau, Gregoire, Novelli, Pietro, Turri, Giacomo, Pontil, Massimiliano
Format Journal Article
LanguageEnglish
Published 01.07.2024
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