12 citations · 19 across the 8 of their papers we have counts for
3 papers · 1 filter
Distributed, partially collapsed MCMC for Bayesian Nonparametrics
Avinava Dubey, Michael Minyi Zhang, Eric P. Xing +1
Bayesian nonparametric (BNP) models provide elegant methods for discovering underlying latent features within a data set, but inference in such models can be slow. We exploit the f…
Parallel Markov Chain Monte Carlo for the Indian Buffet Process
Michael M. Zhang, Avinava Dubey, Sinead A. Williamson
Indian Buffet Process based models are an elegant way for discovering underlying features within a data set, but inference in such models can be slow. Inferring underlying features…
Exact and Efficient Parallel Inference for Nonparametric Mixture Models
Sinead A. Williamson, Avinava Dubey, Eric P. Xing
Nonparametric mixture models based on the Dirichlet process are an elegant alternative to finite models when the number of underlying components is unknown, but inference in such m…