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Abstract: This paper presents studies on a deterministic annealing algorithm based onquantum annealing for variational Bayes QAVB inference, which can be seen asan extension of the simulated annealing for variational Bayes SAVB inference.QAVB is as easy as SAVB to implement. Experiments revealed QAVB finds a betterlocal optimum than SAVB in terms of the variational free energy in latentDirichlet allocation LDA.



Autor: Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita

Fuente: https://arxiv.org/







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