Georgios Karanikolas

Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability

Combining benefits of kernels with Bayesian models, Gaussian process (GP) based approaches have well-documented merits not only in learning over a rich class of nonlinear functions, but also quantifying the associated uncertainty. While most GP approaches rely on a single preselected prior, the pres…