Probabilistic ML - Lecture 24 - Variational Inference

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This is the twentyfourth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2023 at the University of Tübingen.

Contents:
* Evidence Lower Bounds
* Imposed and induced factorization
* Variational Inference in the Gaussian Mixture Model

© Philipp Hennig / University of Tübingen, 2023 CC BY-NC-SA 4.0
  1. Tübingen Machine Learning
  2. Machine Learning
  3. Artificial Intelligence
  4. Probabilistic Reasoning
  5. Bayesian Inference
  6. Deep Learning
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Ty for your lectures sm! Don’t stop sharing 🙏

alexwilliams