Rate of convergence of over-parametrized deep neural network regression estimates learned by stochastic gradient descent

Annals of the Institute of Statistical Mathematics 2026

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Authors: Michael C. Kohler, Adam Krzyżak

DOI: 10.1007/s10463-025-00967-4

Cited by: 0

References: 26

Fields of Study & Subjects

Stochastic Gradient Optimization Techniques Gaussian Processes and Bayesian Inference Statistical Methods and Inference

References 26