A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models

MAD-Bayes (MAP-based Asymptotic Derivations) has been recently proposed as a general technique to derive scalable algorithm for Bayesian Nonparametric models. However, the combinatorial nature of obje