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== Enrollment / Limited number of participants == If you intend to participate, please send an e-mail to nakajima@tu-berlin.de with the title "Probabilistic Modeling and Inference Enrollment," and the main text including your name and Matr. Nr. Participation spots are mostly assigned on a first come/first serve basis. |
Integrated Lecture “Probabilistic Modling and Inference”
General Information
Lecture |
Tuesdays 14-16 (23.5.2023-) |
Room |
MAR 4.062 |
Teachers |
Shinichi Nakajima |
Contact |
|
Language |
English |
Credits |
3 ECTS, Elective Course in Machine Learning Module II (computer science M.Sc.) |
Topics
This course provides a series of lectures on probabilistic modeling and inference, covering the following topics:
- Bayesian learning
- Variational inference
- Sampling methods
- Bayesian deep learning
- Generative modeling
- Gaussian process and Bayesian optimization
Enrollment / Limited number of participants
If you intend to participate, please send an e-mail to nakajima@tu-berlin.de with the title "Probabilistic Modeling and Inference Enrollment," and the main text including your name and Matr. Nr. Participation spots are mostly assigned on a first come/first serve basis.