2 Preliminaries Weconsidertheproblemoftrainingofatwo-layerReLUneuralnetworkwith mscalarinputsanda singlescalaroutputusingtheleast-squaresloss: min

Neural Information Processing Systems 

We show that learning in the kernel regime yields smooth interpolants, minimizing curvature, and reduces tocubic splines for uniform initializations.

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