Tag · expectation-maximization

Expectation Maximization and Variational Inference (Part 2)

In the previous post, we covered variational inference and how to derive update equations. In this post, we will go over a simple Gaussian Mixture Model with the Dirichlet prior...

variational-inferenceexpectation-maximization

Expectation Maximization and Variational Inference (Part 1)

Statistical inference involves finding the right model and parameters that represent the distribution of observations well. Let $\mathbf{x}$ be the observations and $\theta$ be ...

expectation-maximizationvariational-inference