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20092026
most citedNonparametric regression using deep neural networks with ReLU activation function

292 citations · 770 across the 46 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

math.ST2021

Convergence rates of deep ReLU networks for multiclass classification

Thijs Bos, Johannes Schmidt-Hieber

For classification problems, trained deep neural networks return probabilities of class memberships. In this work we study convergence of the learned probabilities to the true cond…

math.ST2021★ 1 cited

Posterior contraction for deep Gaussian process priors

Gianluca Finocchio, Johannes Schmidt-Hieber

We study posterior contraction rates for a class of deep Gaussian process priors applied to the nonparametric regression problem under a general composition assumption on the regre…