Low-degree learning and the metric entropy of polynomials

Low-degree learning and the metric entropy of polynomials, Discrete Analysis 2023:17, 23 pp. This paper is a follow-up to a paper by the first two authors on the general problem of designing algorithms that can efficiently learn functions defined on the Boolean cube $\{-1,1\}^n$, given suitable co...

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Bibliographic Details
Main Authors: Alexandros Eskenazis, Paata Ivanisvili, Lauritz Streck
Format: Article
Language:English
Published: Diamond Open Access Journals 2023-11-01
Series:Discrete Analysis
Online Access:https://doi.org/10.19086/da.88507