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MLSS 2026 Melbourne

This site contains the lecture materials for the Bayesian Machine Learning lecture (5 February 2026, 11:00 AM) and the Active Inference lecture (February 6th, 11:00 AM)

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Materials

Online lecture notes

You can access all lecture materials online through the links in the table below:

Date lesson materials
5-Feb-2025 (Thu) 1: Probability Theory
2: Bayesian Machine Learning
PT
BML
6-Feb-2026 (Fri) 3: Variational Inference
4: Active Inference
5: factor graphs (optional)
VI
AIF, AIF slides
FFG

Full course

The course materials are derived from a full MSc-level course on Bayesian Machine Learning and Information Processing, which is taught annually at TU Eindhoven by the same instructor. For additional background and content, please refer to the materials of that course.

PDF notes

If necessary, you can download the lecture notes in PDF format here:

However, we recommend that you read the lecture notes in your browser to take advantage of the interactive materials that we prepared for this course, based on Pluto.jl.
















BELOW HERE ONLY FOR INSTRUCTOR

How to generate a new PDF bundle for the lecture notes?

  • brew install poppler
  • Open a terminal in the mlss-2026 folder
  • Run julia tools/generate_pdf.jl in the root folder

This gives an output PDF file. Then you should:

  1. Go to https://github.com/bertdv/mlss-2026/releases and make a new release (mlss2, mlss3, etc)
  2. Attach the PDF as "Binary" of the release, and publish
  3. Take the new PDF URL, and write it in README.md

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