@inproceedings{8ca04260fdcc4726955b0a6c20540403,
title = "Quantum annealing for variational Bayes inference",
abstract = "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).",
author = "Issei Sato and Kenichi Kurihara and Shu Tanaka and Hiroshi Nakagawa and Seiji Miyashita",
year = "2009",
language = "English",
series = "Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009",
publisher = "AUAI Press",
pages = "479--486",
booktitle = "Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009",
}