Gaussian Process Regression under Computational and Epistemic Misspecification

Daniel Sanz-Alonso, Ruiyi Yang

Gaussian process regression is a classical kernel method for function estimation and data interpolation. In large data applications, computational costs can be reduced using low-ra…