English

Fooling Gaussian PTFs via Local Hyperconcentration

Computational Complexity 2022-02-10 v2

Abstract

We give a pseudorandom generator that fools degree-dd polynomial threshold functions over nn-dimensional Gaussian space with seed length poly(d)logn\mathrm{poly}(d)\cdot \log n. All previous generators had a seed length with at least a 2d2^d dependence on dd. The key new ingredient is a Local Hyperconcentration Theorem, which shows that every degree-dd Gaussian polynomial is hyperconcentrated almost everywhere at scale dO(1)d^{-O(1)}.

Keywords

Cite

@article{arxiv.2103.07809,
  title  = {Fooling Gaussian PTFs via Local Hyperconcentration},
  author = {Ryan O'Donnell and Rocco A. Servedio and Li-Yang Tan and Daniel Kane},
  journal= {arXiv preprint arXiv:2103.07809},
  year   = {2022}
}

Comments

Added mention of independent and concurrent work of Kelley and Meka

R2 v1 2026-06-24T00:06:56.754Z