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Score Matched Neural Exponential Families for Likelihood-Free Inference

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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 e-Learning
discipline_facet e-Learning
format Online Article
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genre Journal Article
id rss_article:57203
institution FRELIP
journal_source_facet Journal of Machine Learning Research
last_indexed 2026-06-20T21:17:54.275Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Score Matched Neural Exponential Families for Likelihood-Free Inference
e-Learning
General
e-Learning
sub_discipline_display General
sub_discipline_facet General
subject_display e-Learning
General
e-Learning
subject_facet e-Learning
General
e-Learning
title Score Matched Neural Exponential Families for Likelihood-Free Inference
title_alt Familias exponenciales neurales con score matching para inferencia sin verosimilitud
Familles exponentielles neuronales appariées par score pour l'inférence sans vraisemblance
Famílias exponenciais neurais com correspondência de escore para inferência livre de verossimilhança
title_auth Score Matched Neural Exponential Families for Likelihood-Free Inference
title_es_txt Familias exponenciales neurales con score matching para inferencia sin verosimilitud
title_fr_txt Familles exponentielles neuronales appariées par score pour l'inférence sans vraisemblance
title_full Score Matched Neural Exponential Families for Likelihood-Free Inference
title_fullStr Score Matched Neural Exponential Families for Likelihood-Free Inference
title_full_unstemmed Score Matched Neural Exponential Families for Likelihood-Free Inference
title_pt_txt Famílias exponenciais neurais com correspondência de escore para inferência livre de verossimilhança
title_short Score Matched Neural Exponential Families for Likelihood-Free Inference
title_sort score matched neural exponential families for likelihood-free inference
topic e-Learning
General
e-Learning
url http://jmlr.org/papers/v23/21-0061.html