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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 2019Show all

2 papers · 1 filter

stat.ML2019★ 50 cited

Deep ReLU network approximation of functions on a manifold

Johannes Schmidt-Hieber

Whereas recovery of the manifold from data is a well-studied topic, approximation rates for functions defined on manifolds are less known. In this work, we study a regression probl…

math.ST2019

Bayesian variance estimation in the Gaussian sequence model with partial information on the means

Gianluca Finocchio, Johannes Schmidt-Hieber

Consider the Gaussian sequence model under the additional assumption that a fixed fraction of the means is known. We study the problem of variance estimation from a frequentist Bay…