The topics include:
| Exercise | Topic | Reference |
|---|---|---|
| 1 | MCMC Sampling | An Introduction to MCMC for Machine Learning |
| 2 | Deterministic Annealing | Deterministic Annealing for Clustering, Compression, Classification, Regression, and Related Optimization Problems |
| 3 | Histogram Clustering | Histogram clustering for unsupervised image segmentation |
| 4 | Mean Field Approximation | An Introduction to Variational Methods for Graphical Models |