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Spectral Norm in Learning Theory: Some Selected Topics

机译:学习理论的光谱规范:一些选定主题

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In this paper, we review some known results that relate the statistical query complexity of a concept class to the spectral norm of its correlation matrix. Since spectral norms are widely used in various other areas, we are then able to put statistical query complexity in a broader context. We briefly describe some non-trivial connections to (seemingly) different topics in learning theory, complexity theory, and cryptography. A connection to the so-called Hidden Number Problem, which plays an important role for proving bit-security of cryptographic functions, will be discussed in somewhat more detail.
机译:在本文中,我们审查了一些已知结果,其将概念类的统计查询复杂性与其相关矩阵的频谱标准相关。由于光谱规范广泛用于各种其他区域,因此我们能够在更广泛的背景下施加统计查询复杂性。我们简要介绍一些非琐碎的联系(看似)学习理论,复杂性理论和密码学的不同主题。将讨论与所谓的隐藏号码问题的连接,该问题扮演用于证明加密功能的比特安全性的重要作用,将在某种程度上更详细地讨论。

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