The Gaussian Surface Area and Noise Sensitivity of Degree-$d$ Polynomials
Computational Complexity
2009-12-15 v1 Machine Learning
Abstract
We provide asymptotically sharp bounds for the Gaussian surface area and the Gaussian noise sensitivity of polynomial threshold functions. In particular we show that if is a degree- polynomial threshold function, then its Gaussian sensitivity at noise rate is less than some quantity asymptotic to and the Gaussian surface area is at most . Furthermore these bounds are asymptotically tight as and the threshold function of a product of distinct homogeneous linear functions.
Keywords
Cite
@article{arxiv.0912.2709,
title = {The Gaussian Surface Area and Noise Sensitivity of Degree-$d$ Polynomials},
author = {Daniel M. Kane},
journal= {arXiv preprint arXiv:0912.2709},
year = {2009}
}