2 papers
stat.ML2025
On the Convergence of Irregular Sampling in Reproducing Kernel Hilbert Spaces
Armin Iske
We analyse the convergence of sampling algorithms for functions in reproducing kernel Hilbert spaces (RKHS). To this end, we discuss approximation properties of kernel regression u…
cs.LG2025
Irregular Sampling of High-Dimensional Functions in Reproducing Kernel Hilbert Spaces
Armin Iske, Lennart Ohlsen
We develop sampling formulas for high-dimensional functions in reproducing kernel Hilbert spaces, where we rely on irregular samples that are taken at determining sequences of data…