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Preferential Normalizing Flows

Published in arXiv (Cornell University) • Oct 11, 2024
NobleIDNI0P15W34R24S20
Authors:
Petrus Mikkola
,
Luigi Acerbi
,
Arto Klami

Abstract

Eliciting a high-dimensional probability distribution from an expert via noisy judgments is notoriously challenging, yet useful for many applications, such as prior elicitation and reward modeling. We introduce a method for eliciting the expert's belief density as a normalizing flow based solely on ...

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