Teaching

Here are some courses I (co)teach.

Machine Learning Theory
This MasterMath course runs in Fall 2017.
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.