Topic outline

  • General

    We will read and discuss parts of Kevin Murphy's upcoming book "Probabilistic Machine Learning: Advanced Topics" (see https://probml.github.io/pml-book/book2.html).


    Responsible teacher: Harri Lähdesmäki and Manuel Haussmann

    Contact: firstname [dot] lastname [AT] aalto.fi


    Format: We will rely on zoom for the weekly meetings and form small groups there for more efficient discussions. See the Schedule section for information on the required reading for each of the weekly meetings as well as Writing Tasks the associated written assignments.  

    For 3 credits:

    • Read the sections assigned to each weekly meeting
    • Attend the weekly discussion rounds
    • Provide a small summary of the material assigned this week. See the "Writing tasks" section at the left for further information.

    For 5 credits:

    • All of the above
    • Implement and evaluate one of the methods discussed in the course and write a report documenting the results as well as the theory behind the approach.
    • Conduct a brief literature review, discussing what other approaches have been done to tackle the problem you solved. Include it in the report.
    Contact us if you are interested in this option. The deadline for these projects will be the end of period five, i.e., 2022-06-03.

    The grading is pass/fail in both variants.