APA (7th ed.) Citation

Berner, J., Grohs, P., & Jentzen, A. (2020, November 11). Analysis of the Generalization Error: Empirical Risk Minimization over Deep Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Black-Scholes Partial Differential Equations. arXiv.org. https://doi.org/10.48550/arxiv.1809.03062

Chicago Style (17th ed.) Citation

Berner, Julius, Philipp Grohs, and Arnulf Jentzen. "Analysis of the Generalization Error: Empirical Risk Minimization over Deep Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Black-Scholes Partial Differential Equations." ArXiv.org 11 Nov. 2020. https://doi.org/10.48550/arxiv.1809.03062.

MLA (9th ed.) Citation

Berner, Julius, et al. "Analysis of the Generalization Error: Empirical Risk Minimization over Deep Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Black-Scholes Partial Differential Equations." ArXiv.org, 11 Nov. 2020, https://doi.org/10.48550/arxiv.1809.03062.