Basis Identification from Random Sparse Samples

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We consider the problem of learning a target function corresponding to a deep, extensive-width, non-linear neural network with random Gaussian weights. We consider the asymptotic limit where the number of samples, the input dimension and the network width ...

Basis Identification from Random Sparse Samples

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A fast spectral divide-and-conquer method for banded matrices

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