EM Algorithms: From Gaussian Mixtures to VAEs
Chapter 11 starts from soft assignments in Gaussian mixtures, uses Jensen's inequality to construct the ELBO, interprets EM as alternating maximization over a variational distribution and model parameters, and extends the idea to VAEs through approximate posteriors and reparameterization.