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Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent

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Published in:ArXiv cs.LG Recent Papers
Format: Online Article RSS Article
Published: 2026
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container_title ArXiv cs.LG Recent Papers
description
discipline_display Engineering & Technology
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format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet ArXiv cs.LG Recent Papers
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
sub_discipline_display Petroleum & Energy
sub_discipline_facet Petroleum & Energy
subject_display ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
subject_facet ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
title Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
title_auth Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
title_full Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
title_fullStr Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
title_full_unstemmed Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
title_short Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
title_sort transformers efficiently perform in-context logistic regression via normalized gradient descent
topic ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
url https://arxiv.org/abs/2605.06609v1