Probabilistic ML - Lecture 9 - Gaussian Processes
Channel: Tübingen Machine Learning
Date: 2020-05-15

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