Fooling Gaussian PTFs via local hyperconcentration

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Abstract

We give a pseudorandom generator that fools degree-d polynomial threshold functions over n-dimensional Gaussian space with seed length dO(logd) · logn. All previous generators had a seed length with at least a 2d dependence on d. The key new ingredient is our Local Hyperconcentration Theorem, which shows that every degree-d Gaussian polynomial is hyperconcentrated almost everywhere at scale d-O(logd).

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O’Donnell, R., Servedio, R. A., & Tan, L. Y. (2020). Fooling Gaussian PTFs via local hyperconcentration. In Proceedings of the Annual ACM Symposium on Theory of Computing (pp. 1170–1183). Association for Computing Machinery. https://doi.org/10.1145/3357713.3384281

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