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252-5052-00L
2
Credits
Graphical models and causality
Last Updated: 2026-02-05 15:10:06
Abstract
This class is a weekly reading group discussing research papers on causality inference from observational or experimental data. The selected papers aim at understanding machine learning techniques to infer causality, including causal graphs derived from "graphical models”.
General Information
- Language
- English
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar | Graphical models and causality |
|
1 h weekly |