Exponential inequalities for dependent V-statistics via random Fourier features
Kernel (algebra)
DOI:
10.48550/arxiv.2001.01297
Publication Date:
2020-01-01
AUTHORS (3)
ABSTRACT
We establish exponential inequalities for a class of V-statistics under strong mixing conditions. Our theory is developed via novel kernel expansion based on random Fourier features and the use probabilistic method. This type new useful handling many notorious classes kernels.
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