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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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math.ST2017★ 292 cited

Nonparametric regression using deep neural networks with ReLU activation function

Johannes Schmidt-Hieber

Consider the multivariate nonparametric regression model. It is shown that estimators based on sparsely connected deep neural networks with ReLU activation function and properly ch…

math.ST2017

Posterior contraction rates for support boundary recovery

Markus Reiss, Johannes Schmidt-Hieber

Given a sample of a Poisson point process with intensity we study recovery of the boundary function from a nonparametric Bayes perspecti…