Probabilistic ML - Lecture 13 - Computation and Inference
Channel: Tübingen Machine Learning
Date: 2023-06-28

This is the thirteenth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2023 at the University of Tübingen. 

Contents: 
* Numerical Linear Algebra
* Cholesky decompositions as iterative methods
* inferring solutions and matrix inverses simultaneously
* connection to the Schur complement
* iterative GP inference as efficient data loading
* the Lanczos process

The slides for this course are available at https://github.com/philipphennig/Probabilistic_ML

© Philipp Hennig / University of Tübingen, 2023 CC BY-NC-SA 4.0