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

@article{michael2026,
  title        = {{Rate of convergence of over-parametrized deep neural network regression estimates learned by stochastic gradient descent}},
  author       = {Michael Köhler & A. Krzyzak},
  journal      = {Annals of the Institute of Statistical Mathematics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10463-025-00967-4},
}

TY  - JOUR
TI  - Rate of convergence of over-parametrized deep neural network regression estimates learned by stochastic gradient descent
AU  - Köhler, Michael
AU  - Krzyzak, A.
JO  - Annals of the Institute of Statistical Mathematics
PY  - 2026
ER  -

Michael Köhler & A. Krzyzak (2026). Rate of convergence of over-parametrized deep neural network regression estimates learned by stochastic gradient descent. *Annals of the Institute of Statistical Mathematics*. https://doi.org/https://doi.org/10.1007/s10463-025-00967-4

Michael Köhler & A. Krzyzak. "Rate of convergence of over-parametrized deep neural network regression estimates learned by stochastic gradient descent." *Annals of the Institute of Statistical Mathematics* (2026). https://doi.org/https://doi.org/10.1007/s10463-025-00967-4.

Rate of convergence of over-parametrized deep neural network regression estimates learned by stochastic gradient descent
Michael Köhler & A. Krzyzak · Annals of the Institute of Statistical Mathematics · 2026
https://doi.org/https://doi.org/10.1007/s10463-025-00967-4