Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process
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Issei Sato, Hiroshi Nakagawa
Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process
ICML, 2014.

ICML c2 2014
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@inproceedings{ICML-c2-2014-SatoN,
	author        = "Issei Sato and Hiroshi Nakagawa",
	booktitle     = "{Proceedings of the 31st International Conference on Machine Learning, Cycle 2}",
	ee            = "http://jmlr.org/proceedings/papers/v32/satoa14.html",
	pages         = "982--990",
	publisher     = "{JMLR.org}",
	series        = "{JMLR Proceedings}",
	title         = "{Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process}",
	volume        = 32,
	year          = 2014,
}

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