Particle Filtering for Nonparametric Bayesian Matrix Factorization

Many unsupervised learning problems can be expressed as a form of matrix factorization, reconstructingan observed data matrix as the product of two matrices of latent variables. A standard challenge in solving these problems is determining the dimensionality of the latent matrices.