Fooling Gaussian PTFs via local hyperconcentration

STOC '20: 52nd Annual ACM SIGACT Symposium on Theory of Computing Chicago IL USA June, 2020(2020)

引用 5|浏览47
暂无评分
摘要
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).
更多
查看译文
关键词
pseudorandomness, polynomial threshold functions, Gaussian space
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要