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20192023
most citedOn the rate of convergence of fully connected very deep neural network regression estimates

18 citations · 37 across the 9 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

math.ST2021

Estimation of a regression function on a manifold by fully connected deep neural networks

Michael Kohler, Sophie Langer, Ulrich Reif

Estimation of a regression function from independent and identically distributed data is considered. The error with integration with respect to the distribution of the predic…

math.ST2021★ 1 cited

Convergence rates for shallow neural networks learned by gradient descent

Alina Braun, Michael Kohler, Sophie Langer +1

In this paper we analyze the error of neural network regression estimates with one hidden layer. Under the assumption that the Fourier transform of the regression function de…