Tight Generalization Bounds for Large-Margin Halfspaces

Fuente: arXiv
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Autori principali: Larsen, Kasper Green, Schalburg, Natascha
Natura: Preprint
Pubblicazione: 2025
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author Larsen, Kasper Green
Schalburg, Natascha
author_facet Larsen, Kasper Green
Schalburg, Natascha
contents We prove the first generalization bound for large-margin halfspaces that is asymptotically tight in the tradeoff between the margin, the fraction of training points with the given margin, the failure probability and the number of training points.
format Preprint
id arxiv_https___arxiv_org_abs_2502_13692
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tight Generalization Bounds for Large-Margin Halfspaces
Larsen, Kasper Green
Schalburg, Natascha
Machine Learning
Statistics Theory
We prove the first generalization bound for large-margin halfspaces that is asymptotically tight in the tradeoff between the margin, the fraction of training points with the given margin, the failure probability and the number of training points.
title Tight Generalization Bounds for Large-Margin Halfspaces
topic Machine Learning
Statistics Theory
url https://arxiv.org/abs/2502.13692