SuperMix: Sparse Regularization for Mixtures
SuperMix: Sparse Regularization for Mixtures
This paper investigates the statistical estimation of a discrete mixing measure $\mu$0 involved in a kernel mixture model. Using some recent advances in l1-regularization over the space of measures, we introduce a fitting and regularization convex program for estimating $\mu$0 in a grid-less manner from a sample of mixture law, …