Nonparametric bayesian matrix completion

Mingyuan Zhou, Chunping Wang, Minhua Chen, John Paisley, David Dunson, Lawrence Carin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations


The Beta-Binomial processes are considered for inferring missing values in matrices. The model moves beyond the low-rank assumption, modeling the matrix columns as residing in a nonlinear subspace. Large-scale problems are considered via efficient Gibbs sampling, yielding predictions as well as a measure of confidence in each prediction. Algorithm performance is considered for several datasets, with encouraging performance relative to existing approaches. © 2010 IEEE.
Original languageEnglish (US)
Title of host publication2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010
Number of pages4
StatePublished - Dec 20 2010
Externally publishedYes


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