Influence functions for Gaussian process hyperparameter estimation
We derive and analyse the influence function of hyperparameter estimators in Gaussian process (GP) models. While GPs are widely used for regression and probabilistic modelling, their hyperparameters are typically learned by maximizing the marginal likelihood. We show that the resulting estimators have unbounded influen...