Abstract for the talk on 18.09.2019 (11:00 h)Mathematics of Data Seminar
Vladimir Temlyakov (University of South Carolina)
Supervised learning and sampling error of integral norms in function classes
18.09.2019, 11:00 h, MPI für Mathematik in den Naturwissenschaften Leipzig, 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.