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Variational Inference for Stick-Breaking Beta Process Priors

Author(s): Paisley, John; Carin, Lawrence; Blei, David

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Abstract: We present a variational Bayesian inference algorithm for the stick-breaking construction of the beta process. We derive an alternate representation of the beta process that is amenable to variational inference, and present a bound relating the truncated beta process to its infinite counterpart. We assess performance on two matrix factorization problems, using a non-negative factorization model and a linearGaussian model.
Publication Date: 2011
Citation: Paisley, John, Lawrence Carin, and David Blei. "Variational Inference for Stick-Breaking Beta Process Priors." Proceedings of the 28th International Conference on Machine Learning (2011).
Type of Material: Conference Article
Journal/Proceeding Title: Proceedings of the 28th International Conference on Machine Learning
Version: Final published version. Article is made available in OAR by the publisher's permission or policy.



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