Continuous-depth Deep Gaussian Processes

Ying Li, Sanyou Wu, Zi Yang +6

Deep Gaussian processes (DGPs) are appealing Bayesian regression models, but their standard discrete-depth parameterization often becomes harder to optimize as depth grows. We argu…