arXiv stat.ML
· Papers
Monte Carlo with kernel-based Gibbs measures: Guarantees for probabilistic herding
arXiv:2402.11736v3 Announce Type: replace-cross Abstract: Kernel herding belongs to a family of deterministic quadratures that seek to minimize the maximum mean discrepancy (MMD), that is, the worst-case integration error over a reproducing kernel Hilbert space (RKHS). These MMD minimization procedures come with strong