A Theory of Mean Field Approximation
Abstract
I present a theory of mean field approximation based on information ge(cid:173) ometry. This theory includes in a consistent way the naive mean field approximation, as well as the TAP approach and the linear response the(cid:173) orem in statistical physics, giving clear information-theoretic interpreta(cid:173) tions to them.
Cite
Text
Tanaka. "A Theory of Mean Field Approximation." Neural Information Processing Systems, 1998.Markdown
[Tanaka. "A Theory of Mean Field Approximation." Neural Information Processing Systems, 1998.](https://mlanthology.org/neurips/1998/tanaka1998neurips-theory/)BibTeX
@inproceedings{tanaka1998neurips-theory,
title = {{A Theory of Mean Field Approximation}},
author = {Tanaka, Toshiyuki},
booktitle = {Neural Information Processing Systems},
year = {1998},
pages = {351-360},
url = {https://mlanthology.org/neurips/1998/tanaka1998neurips-theory/}
}