The Free-Energy Certification: PAC-Bayes Bounds as Governed AI Admission Criteria

A formal bridge between PAC-Bayes generalization bounds and the free-energy principle, yielding governed admission criteria with measured risk bounds.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24005480
Primary Topic
Machine Learning and Algorithms
Type
preprint
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preprint

The Free-Energy Certification: PAC-Bayes Bounds as Governed AI Admission Criteria

Stephen P. Lutar
3 links
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning and Algorithms
preprint

The Free-Energy Certification: PAC-Bayes Bounds as Governed AI Admission Criteria

Stephen P. Lutar
preprint en

Abstract

A formal bridge between PAC-Bayes generalization bounds and the free-energy principle, yielding governed admission criteria with measured risk bounds.

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning and Algorithms
DOIOpen Access PDFOpenAlex
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