🗓️ Week 05 - Variational Inference and Laplace Approximation
In this week, we continue exploring approximate inference methods, focusing on parametric approaches: variational inference and the Laplace approximation. We will discuss how optimization techniques can approximate intractable posterior distributions.
🖥️ Lecture Slides
📑 Lecture Notes (PDF)
📚 Recommended Reading
📙 References
Murphy, K. P. (2023). Probabilistic machine learning: Advanced topics. MIT Press. http://probml.github.io/book2