Probabilistic Graphical Models
- Organized by: Prof. Joschka Boedecker, Hao Zhu
- Course number: 11E13MO-1228
- Language: English
- Location: Building 101, SR 01-016/18
- Dates:
- Tuesday 16:15-17:45, lectures
- Wednesday 12:15-13:45, exercises and occasionally lectures
- Lecture recordings, slides, exercises and solutions will be posted on ILIAS.
Overview:
The lecture deals with methods of Probabilistic Graphical Models that constitute an important class of machine learning algorithms. A brief content about the topics of the course can be found below.
- Bayesian classifiers
- Markov models
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Bayesian networks
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Inference with Monte Carlo methods
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Decision graphs
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Markov decision processes
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Graphical causal models
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Deep learning and graphical models
Format:
The course will be given in person, lectures will be recorded and uploaded to ILIAS.
Exam:
- TBD