Higher-arity PAC learning, VC dimension and packing lemma

Fuente: arXiv
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Auteurs principaux: Chernikov, Artem, Towsner, Henry
Format: Preprint
Publié: 2025
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author Chernikov, Artem
Towsner, Henry
author_facet Chernikov, Artem
Towsner, Henry
contents The aim of this note is to overview some of our work in Chernikov, Towsner'20 (arXiv:2010.00726) developing higher arity VC theory (VC$_n$ dimension), including a generalization of Haussler packing lemma, and an associated tame (slice-wise) hypergraph regularity lemma; and to demonstrate that it characterizes higher arity PAC learning (PAC$_n$ learning) in $n$-fold product spaces with respect to product measures introduced by Kobayashi, Kuriyama and Takeuchi'15. We also point out how some of the recent results in arXiv:2402.14294, arXiv:2505.15688, arXiv:2509.20404 follow from our work in arXiv:2010.00726.
format Preprint
id arxiv_https___arxiv_org_abs_2510_02420
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Higher-arity PAC learning, VC dimension and packing lemma
Chernikov, Artem
Towsner, Henry
Machine Learning
Discrete Mathematics
Combinatorics
Logic
Statistics Theory
68Q32, 05C65, 05C35, 03C45
The aim of this note is to overview some of our work in Chernikov, Towsner'20 (arXiv:2010.00726) developing higher arity VC theory (VC$_n$ dimension), including a generalization of Haussler packing lemma, and an associated tame (slice-wise) hypergraph regularity lemma; and to demonstrate that it characterizes higher arity PAC learning (PAC$_n$ learning) in $n$-fold product spaces with respect to product measures introduced by Kobayashi, Kuriyama and Takeuchi'15. We also point out how some of the recent results in arXiv:2402.14294, arXiv:2505.15688, arXiv:2509.20404 follow from our work in arXiv:2010.00726.
title Higher-arity PAC learning, VC dimension and packing lemma
topic Machine Learning
Discrete Mathematics
Combinatorics
Logic
Statistics Theory
68Q32, 05C65, 05C35, 03C45
url https://arxiv.org/abs/2510.02420