Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator

Neural Information Processing Systems 

We derive a new Rademacher generalization bound in this setting and provide a theoretical interpretation of benign overfitting by means of Perron-Frobenius operators.

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