Carsten W. Scherer

Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression

Gaussian Process regression is a popular nonparametric regression method based on Bayesian principles that provides uncertainty estimates for its predictions. However, these estimates are of a Bayesian nature, whereas for some important applications, like learning-based control with safety guarantee…