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Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation

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Bibliographic Details
Published in:Journal of Machine Learning Research
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Machine Learning Research
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
id rss_article:4797
institution FRELIP
journal_source_facet Journal of Machine Learning Research
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
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 Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
title_auth Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
title_full Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
title_fullStr Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
title_full_unstemmed Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
title_short Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
title_sort convergence rates for non-log-concave sampling and log-partition estimation
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://jmlr.org/papers/v26/24-1494.html