资源论文Variational Inference for Stick-Breaking Beta Process Priors

Variational Inference for Stick-Breaking Beta Process Priors

2020-02-27 | |  58 |   40 |   0

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.

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