Scalable Log Determinants for Gaussian Process Kernel Learning

Kun Dong, David Eriksson, Hannes Nickisch +2

For applications as varied as Bayesian neural networks, determinantal point processes, elliptical graphical models, and kernel learning for Gaussian processes (GPs), one must compu…