Concept

Kernel (statistics)

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Kernel (statistics)

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Bayes-optimal Learning of Deep Random Networks of Extensive-width

Density Estimation In Rkhs With Application To Korobov Spaces In High Dimensions

End-to-end kernel learning via generative random Fourier features

Detecting whether a stochastic process is finitely expressed in a basis

Learning ground states of gapped quantum Hamiltonians with Kernel Methods

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

The statistical complexity of early-stopped mirror descent

Error scaling laws for kernel classification under source and capacity conditions

Sketches, metrics and fast algorithms

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides