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09/27/2022
A Derivation of Feedforward Neural Network Gradients Using Fréchet Calculus
We present a derivation of the gradients of feedforward neural networks ...
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07/16/2021
Intrinsic Dimension Adaptive Partitioning for Kernel Methods
We prove minimax optimal learning rates for kernel ridge regression, res...
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03/13/2020
Adaptive Learning Rates for Support Vector Machines Working on Data with Low Intrinsic Dimension
We derive improved regression and classification rates for support vecto...
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03/13/2020