Statistical Machine Learning (Summer term 2026)

Start-of-term-FAQ

  • Q: Do I need to register? A: Yes, the link will be provided by end of march. The number of participants is not limited, don't worry.
  • Q: Some of the material is password-protected. A: yes, you will get the password in the first lecture.
  • Q: I am an exchange student, or a student from a different degree program. Can I take part? A: Yes, if you have enough background knowledge. Q: How do I know? A: if in doubt, please approach me at the end of the first lecture (not by email).
  • I have another question ... Ideally, please ask me at the end of the first lecture. Please don't send lots of questions by email.

Setup

What: Statistical Machine Learning, 9 CP
Lecturer: Prof. Ulrike von Luxburg
When and where: Lecture takes place Tuesdays and Thursdays 8:15 - 9:45, lecture hall A2, ground floor, Maria-von-Linden-Strasse 1. First lecture is on April 14. Tutorials: start in the second week of term, see below.

Background information

This course is intended for the students of the master programs in machine learning or computer science or related degrees. It requires a solid understanding of maths, for example as taught in the course on Mathematics of Machine Learning: Linear algebra, Mulitvariate analysis, Probability Theory, Statistics, Optimization. The course is not recommended for students without this background. We also assume that students can program in python.

This lecture is going to be substantially revised and the contents shift quite a bit. While the old lecture notes still exist and the videos for the old vesion of the course also still exist, you need to use the new lecture notes and attend the lectures in person to get the new content. The exam will be about the new content of course.

Info sheet about the logistics of the lecture: link to come

Registration

You need to register for this class on Ilias. Registration will open on TBD. Link to the Ilias course: ILIAS

Lecture notes

... coming ...

Tutorials

We will have weekly tutorial sessions in small groups, you will be assigned in one of the following groups: The teaching assistants are:
  • tba

Assignments

  • will be posted here

Exam modalities

To be admitted to the exam you need to ... TBA ... .

The exam is written. There will be two exams, one at the end of term, the second one before the next term starts. The dates will be fixed by a central process and are no known yet. You can choose which exam to take, both will have the same difficulty. But note that there won't be a third exam nor oral exams: if you skip the first exam and fail the second one, you would need to wait for next summer term to take the exam again.

Literature:

tba

Online feedback form

We want to know what you like / do not like about the lecture! You can tell us anonymously with the following feedback form. The more concrete and constructive the feedback, the higher the likelihood that we can adapt to it.