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

Ort: MPI für Mathematik in den Naturwissenschaften Leipzig, Inselstr. 22, E1 05 (Leibniz-Saal)

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.

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Beginn: Sept. 18, 2019, 11 a.m.

Ende: Sept. 18, 2019, noon