Department of Mathematics, Imperial College London; Department of Applied Mathematics, University of Twente; Department of Statistics, University of Oxford
Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber
Gaussian processes;Bayesian nonparametrics;posterior contraction;minimax estimation;large-sample asymptotics
On the inability of Gaussian process regression to optimally learn compositional functions