Quantum Annealing for Variational Bayes Inference

Details Quantum Annealing for Variational Bayes Inference Quantum Annealing for Variational Bayes Inference

2009-05-21

arxiv.org/abs/0905.3528v3

Physics

Condensed Matter

Disordered Systems and Neural Networks

9 pages, 4 figures, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009) accepted

Scientific paper

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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