Latent Variable Models: Models that use latent variables, which are unobserved variables that are inferred from the data, in order to explain the observed variables. Examples of latent variable models include Latent Dirichlet Allocation (LDA), Variational Autoencoder (VAE) and Gaussian Mixture Model (GMM).