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20132026
most citedOn the rate of convergence of a neural network regression estimate learned by gradient descent

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

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cs.IT2023

Repeated Observations for Classification

Hüseyin Afşer, László Györfi, Harro Walk

We study the problem nonparametric classification with repeated observations. Let $\bX$ be the dimensional feature vector and let denote the label taking values in $\{1,\do…

cs.IT2023

Lossless Transformations and Excess Risk Bounds in Statistical Inference

László Györfi, Tamás Linder, Harro Walk

We study the excess minimum risk in statistical inference, defined as the difference between the minimum expected loss in estimating a random variable from an observed feature vect…