Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications

Alexandre Capone, Armin Lederer, Sandra Hirche

Abstract: Gaussian processes have become a promising tool for various safety-critical settings, since the posterior variance can be used to directly estimate the model error and quantify risk. However, state...