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SIAMJO
2008
72views more  SIAMJO 2008»
15 years 1 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed
CORR
2008
Springer
96views Education» more  CORR 2008»
15 years 2 months ago
Approximating the Gaussian Multiple Description Rate Region Under Symmetric Distortion Constraints
We consider multiple description (MD) coding for the Gaussian source with K descriptions under the symmetric meansquared error (MSE) distortion constraints, and provide an approxim...
Chao Tian, Soheil Mohajer, Suhas N. Diggavi
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 8 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...
ORL
2008
88views more  ORL 2008»
15 years 1 months ago
Approximating integrals of multivariate exponentials: A moment approach
We propose a method to calculate lower and upper bounds of some exponential multivariate integrals using moment relaxations and show that they asymptotically converge to the value...
Dimitris Bertsimas, Xuan Vinh Doan, Jean B. Lasser...
UAI
2003
15 years 3 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén