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most citedGradient Descent Provably Optimizes Over-parameterized Neural Networks

365 citations · 654 across the 11 of their papers we have counts for

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math.ST2019★ 13 cited

On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels

Tengyuan Liang, Alexander Rakhlin, Xiyu Zhai

We study the risk of minimum-norm interpolants of data in Reproducing Kernel Hilbert Spaces. Our upper bounds on the risk are of a multiple-descent shape for the various scalings o…