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Bounding the expectation of the supremum of an empirical process over a (weak) VC-major class

机译:限制(弱)VC主类的经验过程的最高期望

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Given a bounded class of functions $mathscr{G}$ and independent random variables $X_{1},ldots,X_{n}$, we provide an upper bound for the expectation of the supremum of the empirical process over elements of $mathscr{G}$ having a small variance. Our bound applies when $mathscr{G}$ is a VC-subgraph or a VC-major class and it is of smaller order than those one could get by using a universal entropy bound over the whole class $mathscr{G}$. It also involves explicit constants and does not require the knowledge of the entropy of $mathscr{G}$.
机译:给定函数$ mathscr {G} $的有界类和独立随机变量$ X_ {1}, ldots,X_ {n} $,我们为对的元素的经验过程的最高期望提供了上限$ mathscr {G} $的差异很小。当$ mathscr {G} $是VC子图或VC主要类时,我们的界线适用,并且其阶次小于使用整个类$ mathscr {G} $上的通用熵所能获得的界线。它还涉及显式常量,不需要了解$ mathscr {G} $的熵。

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