Learning Functions of Halfspaces

Fuente: arXiv
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Bibliographic Details
Main Authors: Alman, Josh, Patel, Shyamal, Servedio, Rocco A.
Format: Preprint
Published: 2026
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author Alman, Josh
Patel, Shyamal
Servedio, Rocco A.
author_facet Alman, Josh
Patel, Shyamal
Servedio, Rocco A.
contents We give an algorithm that learns arbitrary Boolean functions of $k$ arbitrary halfspaces over $\mathbb{R}^n$, in the challenging distribution-free Probably Approximately Correct (PAC) learning model, running in time $2^{\sqrt{n} \cdot (\log n)^{O(k)}}$. This is the first algorithm that can PAC learn even intersections of two halfspaces in time $2^{o(n)}.$
format Preprint
id arxiv_https___arxiv_org_abs_2603_08700
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Learning Functions of Halfspaces
Alman, Josh
Patel, Shyamal
Servedio, Rocco A.
Data Structures and Algorithms
Computational Complexity
We give an algorithm that learns arbitrary Boolean functions of $k$ arbitrary halfspaces over $\mathbb{R}^n$, in the challenging distribution-free Probably Approximately Correct (PAC) learning model, running in time $2^{\sqrt{n} \cdot (\log n)^{O(k)}}$. This is the first algorithm that can PAC learn even intersections of two halfspaces in time $2^{o(n)}.$
title Learning Functions of Halfspaces
topic Data Structures and Algorithms
Computational Complexity
url https://arxiv.org/abs/2603.08700