Spectral bounds of the ε-entropy of kernel classes

04/09/2022
by   Rustem Takhanov, et al.
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We develop new upper and lower bounds on the ε-entropy of a unit ball in a reproducing kernel Hilbert space induced by some Mercer kernel K. Our bounds are based on the behaviour of eigenvalues of a corresponding integral operator. In our approach we exploit an ellipsoidal structure of a unit ball in RKHS and a previous work on covering numbers of an ellipsoid in the euclidean space obtained by Dumer, Pinsker and Prelov. We present a number of applications of our main bound, such as its tightness for a practically important case of the Gaussian kernel. Further, we develop a series of lower bounds on the ε-entropy that can be established from a connection between covering numbers of a ball in RKHS and a quantization of a Gaussian Random Field that corresponds to the kernel K by the Kosambi-Karhunen-Loève transform.

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