论文标题
通过随机傅立叶特征的依赖V统计量的指数不平等
Exponential inequalities for dependent V-statistics via random Fourier features
论文作者
论文摘要
我们在强大的混合条件下为一类V统计量建立了指数不平等。我们的理论是通过基于随机傅立叶特征和使用概率方法的新内核扩展而开发的。这种扩展是新的，对于处理许多臭名昭著的内核类都是有用的。
We establish exponential inequalities for a class of V-statistics under strong mixing conditions. Our theory is developed via a novel kernel expansion based on random Fourier features and the use of a probabilistic method. This type of expansion is new and useful for handling many notorious classes of kernels.
