Consensus variational inference.
Consensus Monte Carlo algorithm for DP and IBP
A scalable Monte Carlo algorithm for inference under a large class of nonparametric Bayesian models for clustering and classification.
We develop a parallel-tempered feature allocation algorithm to infer tumor heterogeneity from deep DNA sequencing data. The feature allocation model is based on a binomial likelihood and an Indian Buffet process prior on the latent haplotypes. A …