Conference item

Distributed Parameter Estimation in Probabilistic Graphical Models

Abstract:: This paper presents foundational theoretical results on distributed parameter estimation for undirected probabilistic graphical models. It introduces a general condition on composite likelihood decompositions of these models which guarantees the global consistency of distributed estimators, provided the local estimators are consistent.

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APA Style

Mizrahi, Y., Denil, M., & de Freitas, N. (2014). Distributed Parameter Estimation in Probabilistic Graphical Models.

MLA Style

Mizrahi, Y, et al. “Distributed Parameter Estimation in Probabilistic Graphical Models.” 2014.

Chicago Style

Mizrahi, Y, M Denil, and N de Freitas. 2014. “Distributed Parameter Estimation in Probabilistic Graphical Models.”
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Authors

+ Mizrahi, Y More by this author

Role:: Author

+ Denil, M More by this author

Role:: Author

+ de Freitas, N More by this author

Role:: Author

Publisher:: University of Oxford
Host title:: Advances in Neural Information Processing Systems (NIPS)
Publication date:: 2014-01-01

UUID:: uuid:0e5620e5-5331-44f2-a001-35327a6fe9bc
Local pid:: cs:8954
Deposit date:: 2015-03-31
ARK identifier:: ark:/29072/ora_0e5620e5533144f2a00135327a6fe9bc

Terms of use

Copyright date:: 2014

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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