Rianne de Heide
Home
News
Research
Teaching
Other
Prospective students 
(BSc/MSc/PhD/postdoc)
Useful links
Math
Google Scholar

Teaching

Teaching MLT 

PhD students

  • Yury Tavyrikov (started September 2023)

This semester

  • Bayesian Statistics (to be renamed to: Mathematical Statistics 2), Spring 2024

Past teaching

  • Statistics and Probability (BSc Mechanical Engineering, VU Amsterdam), Spring 2022, 2023

  • Statistical Methods (Pre-master Computer Science, VU Amsterdam), Spring 2022, 2023

  • Statistical Methods (BSc AI, VU Amsterdam), Fall 2022

  • Statistics, Simulation, and Optimisation (MSc Data Science, University of Amsterdam), Fall 2022,
    together with Joost Berkhout. I did the first half on statistics.

  • Lectures on stochastic bandits and best-arm identification in Foundations of Statistics and Machine Learning (MSc Mathematics, Leiden University), Spring 2021

  • Machine Learning Theory (MasterMath, the joint universities national Dutch Master's Programme in Mathematics), Fall 2017, 2018, 2019
    together with Wouter Koolen and Peter Grünwald. I did the first half on Statistical Learning Theory.

  • Lectures on online learning and bandits in Peter Grünwald's Information Theoretic Learning course (MSc Mathematics, Leiden University), Spring 2018

  • Lecture on Information Theory in Machine Learning in Christian Schaffner's Information Theory course (MSc Logic, University of Amsterdam), Fall 2017

  • Lecture on online learning in Peter Grünwald's Information Theoretic Learning course (MSc Mathematics, Leiden University), Spring 2017