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252-5052-00L 2 Credits

Graphical models and causality

VVZ CR n/a

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
  • Tue 17:15-18:00 (CAB H 57)
1 h weekly

Offered In