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Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS (2009.10683v5)

Published 22 Sep 2020 in cs.LG, math.ST, stat.ML, and stat.TH

Abstract: We prove that the reproducing kernel Hilbert spaces (RKHS) of a deep neural tangent kernel and the Laplace kernel include the same set of functions, when both kernels are restricted to the sphere $\mathbb{S}{d-1}$. Additionally, we prove that the exponential power kernel with a smaller power (making the kernel less smooth) leads to a larger RKHS, when it is restricted to the sphere $\mathbb{S}{d-1}$ and when it is defined on the entire $\mathbb{R}d$.

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