🗓️ Week 07 - Lab on Classification with MCMC

Author

Affiliation

Dr. Simone Rossi

EURECOM

This week features a lab session on Bayesian classification using MCMC. We will apply the inference tools developed in previous weeks to classification problems, using JAX as the computational backend.

🧪 Lab

Labs are available on GitHub. Check the README file for instructions on how to run the lab.

Google Colab is the suggested way to edit and execute the labs. Start with the JAX tutorial, then proceed to the classification lab:

Tutorial — Introduction to JAX:

Open In Colab

Lab — Classification with MCMC:

Open In Colab

📚 Recommended Reading

• Murphy (2023): Chapter 15.3 (Logistic Regression)

📙 References

Murphy, K. P. (2023). Probabilistic machine learning: Advanced topics. MIT Press. http://probml.github.io/book2