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20182026
most citedOn the rate of convergence of a neural network regression estimate learned by gradient descent

6 citations · 6 across the 6 of their papers we have counts for

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math.ST2020

Strongly universally consistent nonparametric regression and classification with privatised data

Thomas Berrett, László Györfi, Harro Walk

In this paper we revisit the classical problem of nonparametric regression, but impose local differential privacy constraints. Under such constraints, the raw data $(X_1,Y_1),\ldot…