Supervised learning and sampling error of integral norms in function classes

  • Vladimir Temlyakov (University of South Carolina)
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.

24.04.18 19.03.21

Mathematics of Data Seminar

MPI for Mathematics in the Sciences Live Stream

Katharina Matschke

MPI for Mathematics in the Sciences Contact via Mail