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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 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

nakajima@tu-berlin.de

Language

English

Credits

3 ECTS, Elective Course in Machine Learning Module II (computer science M.Sc.)

ISIS

https://isis.tu-berlin.de/course/view.php?id=34508

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 assigned on a first come/first serve basis.

IDA Wiki: Main/SS23_PMI (last edited 2023-06-06 18:23:07 by ShinichiNakajima)