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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
Research article (SIAM Journal on Mathematics of Data Science, 2020) · cited 16× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysis-of-the-generalization-error-empirical-risk-minimization-over-deep-artificial-neural-networks-overcomes-the-curs
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysis-of-the-generalization-error-empirical-risk-minimization-over-deep-artificial-neural-networks-overcomes-the-curs.
BibTeX@misc{4ortxyz_analysis-of-the-generalization-error-empirical-risk-minimization-over-deep-artificial-neural-networks-overcomes-the-curs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/analysis-of-the-generalization-error-empirical-risk-minimization-over-deep-artificial-neural-networks-overcomes-the-curs}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/analysis-of-the-generalization-error-empirical-risk-minimization-over-deep-artificial-neural-networks-overcomes-the-curs (retrieved 2026-05-24)