Probabilistic ML — Lecture 26 — Making Decisions
Channel: Tübingen Machine Learning
Date: 2020-07-17

This is the twenty-sixth (formerly 25th) 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: 
* Decision theory
* Bandit algorithms
* Upper confidence bounds
* Chernoff-Hoeffding bounds
* Bayesian Optimization
* Information-based global optimization
* multi-fidelity experimental design

© Philipp Hennig / University of Tübingen, 2020 CC BY-NC-SA 3.0