Before revision: We provide a spectral norm concentration inequality for infinite random matrices with independent rows. This complements earlier results by Mendelson, Pajor, Oliveira and Rauhut. As an application we study L_2-norm sampling discretization and recovery of functions in RKHS on D \subset \mathbb{R \R ^d based on random function samples , where we only assume the finite trace of the kernel .
After revision: In this paper we study L_2-norm sampling discretization and recovery of functions in RKHS on D \subset \mathbb{R \R ^d based on random function samples , where we only assume the finite trace of the kernel .