I am compiling a collection of exercises that I came across during my research. Most problems have short descriptions, and can be solved in a few lines. Some of them are original and might (hopefully) inspire some thoughts.

Properties of the Log Determinant

Gaussian Maximum Likelihood: When the Estimate Does Not Exist

Variational Inference: Does Adding Data Reduce the Approximate Posterior Uncertainty?