19331617
Seminar / Undergraduate Course
Seminar/Proseminar: Information-theoretical principles of ML
Gerhard Wunder
Comments
This (Pro-)Seminar takes place regularly every semester and is directed to Bachelor and Masterstudents. It covers basic and advanced (actual) topics of information-theoretic principles of machine learning. An indicative but not complete list of possible topics is:
- Probability distributions
- Elements of learning theory
- Entropy measures, cross-entropy
- Mutual information and distance metrics on probability distributions
- Compression and representation learning
- Autoencoders and variational autoencoders
- Privacy-preserving ML
- Pattern recognition and anomaly detection
- Statistical signal processing and machine learning
- …
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16 Class schedule
Regular appointments
Fri, 2024-10-18 14:00 - 16:00
Fri, 2024-10-25 14:00 - 16:00
Fri, 2024-11-01 14:00 - 16:00
Fri, 2024-11-08 14:00 - 16:00
Fri, 2024-11-15 14:00 - 16:00
Fri, 2024-11-22 14:00 - 16:00
Fri, 2024-11-29 14:00 - 16:00
Fri, 2024-12-06 14:00 - 16:00
Fri, 2024-12-13 14:00 - 16:00
Fri, 2024-12-20 14:00 - 16:00
Fri, 2025-01-10 14:00 - 16:00
Fri, 2025-01-17 14:00 - 16:00
Fri, 2025-01-24 14:00 - 16:00
Fri, 2025-01-31 14:00 - 16:00
Fri, 2025-02-07 14:00 - 16:00
Fri, 2025-02-14 14:00 - 16:00