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TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems

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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 Education
discipline_facet Education
format Online Article
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genre Journal Article
id rss_article:39607
institution FRELIP
journal_source_facet Journal of Machine Learning Research
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
— — — — — — e-Learning
Educational Technology
Education
sub_discipline_display Educational Technology
sub_discipline_facet Educational Technology
subject_display — — — — — — e-Learning
Educational Technology
Education
— — — — — — e-Learning
Educational Technology
Education
subject_facet — — — — — — e-Learning
Educational Technology
Education
title TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
title_auth TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
title_full TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
title_fullStr TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
title_full_unstemmed TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
title_short TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
title_sort tfpnp: tuning-free plug-and-play proximal algorithms with applications to inverse imaging problems
topic — — — — — — e-Learning
Educational Technology
Education
url http://jmlr.org/papers/v23/20-1297.html