JENTZEN, Arnulf, KUCKUCK, Benno, NEUFELD, Ariel und VON WURSTEMBERGER, Philippe, 2021. Strong error analysis for stochastic gradient descent optimization algorithms. IMA Journal of Numerical Analysis, 41 (1. 1 Januar 2021. DOI 10.3929/ethz-c-000447279.
Elsevier - Harvard (with titles)Jentzen, A., Kuckuck, B., Neufeld, A., von Wurstemberger, P., 2021. Strong error analysis for stochastic gradient descent optimization algorithms. IMA Journal of Numerical Analysis, 41 (1. https://doi.org/10.3929/ethz-c-000447279
American Psychological Association 7th editionJentzen, A., Kuckuck, B., Neufeld, A., & von Wurstemberger, P. (2021). Strong error analysis for stochastic gradient descent optimization algorithms. IMA Journal of Numerical Analysis, 41 (1. https://doi.org/10.3929/ethz-c-000447279
Springer - Basic (author-date)Jentzen A, Kuckuck B, Neufeld A, von Wurstemberger P (2021) Strong error analysis for stochastic gradient descent optimization algorithms. IMA Journal of Numerical Analysis, 41 (1. https://doi.org/10.3929/ethz-c-000447279
Juristische Zitierweise (Stüber) (Deutsch)Jentzen, Arnulf/ Kuckuck, Benno/ Neufeld, Ariel/ von Wurstemberger, Philippe, Strong error analysis for stochastic gradient descent optimization algorithms, IMA Journal of Numerical Analysis, 41 (1 2021.