Sparse Techniques for Regression in Deep Gaussian Processes

Jonas Latz, Aretha L. Teckentrup, Simon Urbainczyk

Gaussian processes (GPs) have gained popularity as flexible machine learning models for regression and function approximation with an in-built method for uncertainty quantification…