https://www.youtube.com/watch?v=s2_L86D4kUE

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

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