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"Universal priors: solving empirical Bayes via Bayesian inference and ..."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Nick Cannella et al. (2026)

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DOI: 10.48550/ARXIV.2602.15136

access: open

type: Informal or Other Publication

metadata version: 2026-03-30

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  dblp key:
  - journals/corr/abs-2602-15136
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  - https://dblp.org/rec/journals/corr/abs-2602-15136
Nick Cannella, Anzo Teh, Yanjun Han, Yury Polyanskiy:
Universal priors: solving empirical Bayes via Bayesian inference and pretraining. CoRR abs/2602.15136 (2026)

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