Probabilistic ML - Lecture 9 - Gaussian Processes

This is the ninth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University of Tübingen. Time-stamped slides available at https://uni-tuebingen.de/en/180804. Contents: * Gaussian processes * kernels * (linear and cubic) splines from "infinitely wide neural networks" with step and ReLU features * kernels form a semi-ring © Philipp Hennig / University of Tübingen, 2020 CC BY-NC-SA 3.0