2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
UAI 2019poster
A simple, flexible approach to creating expressive priors in Gaussian process (GP) models makes new kernels from a combination of basic kernels, e.g. summing a periodic and linear kernel can capture seasonal variation with a long term trend. Despite a well-studied link between GPs and Bayesian neura…