Introduction to Gaussian Processes


at MLSS, Arequipa on Aug 2, 2016 [pdf]
Neil D. Lawrence, University of Sheffield


In this first session we will introduce Gaussian process models, non parametric Bayesian models that allow for principled propagation of uncertainty in regression analysis. We will assume a background in parametric models, linear algebra and probability.