Teaching

Here are some courses I (co)teach.

Machine Learning Theory 2022
This MasterMath course runs in Spring 2022. I am teaching the course with Tim van Erven.
Machine Learning Theory 2021
This MasterMath course runs in Spring 2021. I am teaching the course with Tim van Erven.
Machine Learning Theory 2019
This MasterMath course runs in Fall 2019. I am teaching the course with Rianne de Heide and Peter Grünwald.
Pure Exploration
In Fall 2018 I host the Pure Exploration reading group at CWI.
Machine Learning Theory 2018
This MasterMath course runs in Fall 2018. I am teaching the course with Rianne de Heide and Peter Grünwald.
Machine Learning Theory 2017
This MasterMath course runs in Fall 2017. I am teaching the course with Rianne de Heide and Peter Grünwald.
Concentration Inequalities
In Spring 2017 I host the Concentration Inequalities reading group at CWI.
Online Learning: Robustness and Adaptivity
This three-lecture invited tutorial on online learning and easy data featured at the ELC fall school on Theoretical Computer Science in Shonan, Japan on 20 September 2016.
Game-theoretic Probability
This project course ran in June 2016 at the ILLC/UvA.
Statistical Learning Theory
In spring 2014 Peter Bartlett and I taught Statistical Learning Theory at UC Berkeley. I was responsible for the online learning component of the class.
Kolmogorov complexity, Applications, MDL
In spring 2008 and 2009 I was teaching assistant for Paul Vitányi's Kolmogorov Complexity course at the University of Amsterdam.