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10/04/2022
Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent
Estimation of a regression function from independent and identically dis...
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10/31/2020
On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data
A regression problem with dependent data is considered. Regularity assum...
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12/09/2019
Over-parametrized deep neural networks do not generalize well
Recently it was shown in several papers that backpropagation is able to ...
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12/09/2019
Analysis of the rate of convergence of neural network regression estimates which are easy to implement
Recent results in nonparametric regression show that for deep learning, ...
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08/29/2019