NeurIPS 2015poster19 citations
Probabilistic Variational Bounds for Graphical Models
Qiang Liu, John W. Fisher III, Alex Ihler
Abstract
Variational algorithms such as tree-reweighted belief propagation can provide deterministic bounds on the partition function, but are often loose and difficult to use in an
BibTeX
@inproceedings{NIPS2015_43feaeee,
author = {Liu, Qiang and Fisher III, John W and Ihler, Alexander T},
booktitle = {Advances in Neural Information Processing Systems},
editor = {C. Cortes and N. Lawrence and D. Lee and M. Sugiyama and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {Probabilistic Variational Bounds for Graphical Models},
url = {https://proceedings.neurips.cc/paper_files/paper/2015/file/43feaeeecd7b2fe2ae2e26d917b6477d-Paper.pdf},
volume = {28},
year = {2015}
}