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Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime

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Bibliographic Details
Published in:Journal of Machine Learning Research
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title Journal of Machine Learning Research
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:4822
institution FRELIP
journal_source_facet Journal of Machine Learning Research
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
title_auth Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
title_full Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
title_fullStr Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
title_full_unstemmed Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
title_short Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
title_sort universality of kernel random matrices and kernel regression in the quadratic regime
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://jmlr.org/papers/v26/24-1533.html