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stat.ML2019
Fast Approximation and Estimation Bounds of Kernel Quadrature for Infinitely Wide Models
Sho Sonoda
An infinitely wide model is a weighted integration of feature maps. This model excels at handling an infinite number of features, and thus it has been adopted…
stat.ML2018
The global optimum of shallow neural network is attained by ridgelet transform
Sho Sonoda, Isao Ishikawa, Masahiro Ikeda +4
We prove that the global minimum of the backpropagation (BP) training problem of neural networks with an arbitrary nonlinear activation is given by the ridgelet transform. A series…