Author:
Kohler Michael,Krzyżak Adam,Walter Benjamin
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Reference36 articles.
1. Bartlett, P. L., Harvey, N., Liaw, C., Mehrabian, A. (2019). Nearly-tight vc-dimension and pseudodimension bounds for piecewise linear neural networks. Journal of Machine Learning Research, 20, 1–17.
2. Bauer, B., Kohler, M. (2019). On deep learning as a remedy for the curse of dimensionality in nonparametric regression. Annals of Statistics, 47, 2261–2285.
3. Chang, L.-B., Borenstein, E., Zhang, W., Geman, S. (2017). Maximum likelihood features for generative image models. The Annals of Applied Statistics, 11, 1275–1308.
4. Cover, T. M. (1968). Rates of convergence of nearest neighbor procedures. In Proceedings of the Hawaii International Conference on Systems Siences, 413–415. Honolulu, HI.
5. Devroye, L. (1982). Necessary and sufficient conditions for the pointwise convergence of nearest neighbor regression function estimates. Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete, 61, 467–481.
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