Quantum annealing for variational Bayes inference
arXiv preprint arXiv:0905.3528, 2009•arxiv.org
This paper presents studies on a deterministic annealing algorithm based on quantum
annealing for variational Bayes (QAVB) inference, which can be seen as an extension of the
simulated annealing for variational Bayes (SAVB) inference. QAVB is as easy as SAVB to
implement. Experiments revealed QAVB finds a better local optimum than SAVB in terms of
the variational free energy in latent Dirichlet allocation (LDA).
annealing for variational Bayes (QAVB) inference, which can be seen as an extension of the
simulated annealing for variational Bayes (SAVB) inference. QAVB is as easy as SAVB to
implement. Experiments revealed QAVB finds a better local optimum than SAVB in terms of
the variational free energy in latent Dirichlet allocation (LDA).
This paper presents studies on a deterministic annealing algorithm based on quantum annealing for variational Bayes (QAVB) inference, which can be seen as an extension of the simulated annealing for variational Bayes (SAVB) inference. QAVB is as easy as SAVB to implement. Experiments revealed QAVB finds a better local optimum than SAVB in terms of the variational free energy in latent Dirichlet allocation (LDA).
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