Convergence analysis of online algorithms for vector-valued kernel regression

Michael Griebel, Peter Oswald

We consider the problem of approximating the regression function $f_{\mu }:\Omega \to Y$ from noisy $\mu$-distributed vector-valued data $({\omega }_m,y_m)\in \Omega \times Y$ by an online learning algorit…