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» On the Convergence of Bound Optimization Algorithms
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UAI
2008
13 years 9 months ago
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies
Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpo...
Tamir Hazan, Amnon Shashua
HYBRID
2009
Springer
14 years 2 months ago
Convergence of Distributed WSN Algorithms: The Wake-Up Scattering Problem
In this paper, we analyze the problem of finding a periodic schedule for the wake-up times of a set of nodes in a Wireless Sensor Network that optimizes the coverage of the region...
Daniele Fontanelli, Luigi Palopoli, Roberto Passer...
WSC
2007
13 years 10 months ago
Allocation of simulation runs for simulation optimization
Simulation optimization (SO) is the process of finding the optimum design of a system whose performance measure(s) are estimated via simulation. We propose some ideas to improve o...
Alireza Kabirian, Sigurdur Ólafsson
CDC
2008
IEEE
123views Control Systems» more  CDC 2008»
14 years 2 months ago
On distributed averaging algorithms and quantization effects
—We consider distributed iterative algorithms for the averaging problem over time-varying topologies. Our focus is on the convergence time of such algorithms when complete (unqua...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
ICML
2005
IEEE
14 years 8 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III