Streaming Variational Inference for Bayesian Nonparametric Mixture Models

Completely random measures

J. F. C. Kingman · 1967

Earlier work this paper cites.

A Bayesian analysis of some nonparametric problems

T. S. Ferguson · 1973

Earlier work this paper cites.

Nonparametric Bayes estimators based on beta processes in models for life history data

N. L. Hjort · 1990

Earlier work this paper cites.

Poisson Processes

J. F. C. Kingman · 1993

Earlier work this paper cites.

The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator

J. Pitman and M. Yor · 1997

Earlier work this paper cites.

Expectation propagation for approximate Bayesian inference

T. Minka · 2001

Earlier work this paper cites.

Distributional results for means of normalized random measures with independent increments

E. Regazzini, A. Lijoi, and I. Prünster · 2003

Earlier work this paper cites.

Pattern Recognition and Machine Learning (Information Science and Statistics)

C. M. Bishop · 2006

Earlier work this paper cites.

Controlling the reinforcement in Bayesian non-parametric mixture models

A. Lijoi, R. H. Mena, and I. Prünster · 2007

Cited alongside, same era.

Posterior analysis for normalized random measures with independent increments

L. F. James, A. Lijoi, and I. Prünster · 2009

Cited alongside, same era.

Hierarchical Bayesian nonparametric models with applications

Y. W. Teh and M. I. Jordan · 2010

Cited alongside, same era.

Posterior simulation of normalized random measure mixtures

J. E. Griffin and S. G. Walker · 2011

Cited alongside, same era.

Truncation-free online variational inference for Bayesian nonparametric models

C. Wang and D. M. Blei · 2012

Cited alongside, same era.

Asymptotics for a Bayesian nonparametric estimator of species variety

S. Favaro, A. Lijoi, and I. Prünster · 2012

Cited alongside, same era.

Online learning of nonparametric mixture models via sequential variational approximation

D. Lin · 2013

Later among the works it cites.

Modeling with normalized random measure mixture models

E. Barrios, A. Lijoi, L. E. Nieto-Barajas, and I. Prünster · 2013

Later among the works it cites.

MCMC for normalized random measure mixture models

S. Favaro and Y. W. Teh · 2013

Later among the works it cites.

UCI machine learning repository, 2013

K. Bache and M. Lichman · 2013

Later among the works it cites.

Memoized online variational inference for Dirichlet process mixture models

M. C Hughes and E. Sudderth · 2013

Later among the works it cites.

Expectation propagation as a way of life

A. Gelman, A. Vehtari, P. Jylänki, C. Robert, N. Chopin, and J. P. Cunningham · 2014

Closest in time.