Zusammenfassung für den Vortrag am 18.09.2019 (11:00 Uhr)

Mathematics of Data Seminar

Vladimir Temlyakov (University of South Carolina)
Supervised learning and sampling error of integral norms in function classes

In this talk we will discuss how known results from two areas of research -- supervised learning theory and numerical integration -- can be used in sampling discretization of the square norm on different function classes.