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Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection

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Published in:Journal of Machine Learning Research (JMLR)
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Machine Learning Research (JMLR)
description
discipline_display Computer Sciience
discipline_facet Computer Sciience
format Online Article
RSS Article
genre Journal Article
id rss_article:77732
institution FRELIP
journal_source_facet Journal of Machine Learning Research (JMLR)
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
Computer Sciience
General
Computer Sciience
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Sciience
General
Computer Sciience
Computer Sciience
General
Computer Sciience
subject_facet Computer Sciience
General
Computer Sciience
title Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
title_auth Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
title_full Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
title_fullStr Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
title_full_unstemmed Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
title_short Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
title_sort finite neural networks as mixtures of gaussian processes: from provable error bounds to prior selection
topic Computer Sciience
General
Computer Sciience
url http://jmlr.org/papers/v27/24-1199.html