William Tebbutt

Combining Pseudo-Point and State Space Approximationsfor Sum-Separable Gaussian Processes

2021 · Uncertainty in Artificial Intelligence

Spatio-temporal Gaussian processes (GPs) are important probabilistic tools for inference and learning in climate science, epidemiology, or any time-driven general GP modelling problem. The current gold-standard methods for scaling GPs to large data sets are …