Probabilistic ML - 23 - Variational Inference

Автор: Tübingen Machine Learning

Загружено: 2025-07-18

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This is Lecture 23 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, taught by Prof. Philipp Hennig.

Contents include a fast and high-level introduction to variational inference, including some connections to its use in physics.

Probabilistic ML is an integral part of the curriculum of the International Masters Degree in Machine Learning, alongside associated courses on deep learning, statistical machine learning, reinforcement learning, and much more.

Playlist for the course: • Probabilistic Machine Learning 2025 - Phil...

Probabilistic ML - 23 - Variational Inference

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