10 citations · 24 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
A survey of non-exchangeable priors for Bayesian nonparametric models
Nicholas J. Foti, Sinead Williamson
Dependent nonparametric processes extend distributions over measures, such as the Dirichlet process and the beta process, to give distributions over collections of measures, typica…
A unifying representation for a class of dependent random measures
Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore +1
We present a general construction for dependent random measures based on thinning Poisson processes on an augmented space. The framework is not restricted to dependent versions of…
Restricting exchangeable nonparametric distributions
Sinead Williamson, Zoubin Ghahramani, Steven N. MacEachern +1
Distributions over exchangeable matrices with infinitely many columns, such as the Indian buffet process, are useful in constructing nonparametric latent variable models. However,…