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» Variational Chernoff Bounds for Graphical Models
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UAI
2004
13 years 5 months ago
Variational Chernoff Bounds for Graphical Models
Recent research has made significant progress on the problem of bounding log partition functions for exponential family graphical models. Such bounds have associated dual paramete...
Pradeep D. Ravikumar, John D. Lafferty
NIPS
2007
13 years 5 months ago
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
Variational methods are frequently used to approximate or bound the partition or likelihood function of a Markov random field. Methods based on mean field theory are guaranteed ...
Erik B. Sudderth, Martin J. Wainwright, Alan S. Wi...
ICC
2007
IEEE
125views Communications» more  ICC 2007»
13 years 10 months ago
Scalable Fault Diagnosis in IP Networks using Graphical Models: A Variational Inference Approach
In this paper we investigate the fault diagnosis problem in IP networks. We provide a lower bound on the average number of probes per edge using variational inference technique pro...
Rajesh Narasimha, Souvik Dihidar, Chuanyi Ji, Stev...
CGF
2007
135views more  CGF 2007»
13 years 4 months ago
Variational 3D Shape Segmentation for Bounding Volume Computation
We propose a variational approach to computing an optimal segmentation of a 3D shape for computing a union of tight bounding volumes. Based on an affine invariant measure of e-ti...
Lin Lu, Yi-King Choi, Wenping Wang, Myung-Soo Kim
ICONIP
2004
13 years 5 months ago
An Auxiliary Variational Method
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
Felix V. Agakov, David Barber