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» On the Convergence of Bound Optimization Algorithms
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WINE
2010
Springer
159views Economy» more  WINE 2010»
13 years 6 months ago
Local Dynamics in Bargaining Networks via Random-Turn Games
Abstract. We present a new technique for analyzing the rate of convergence of local dynamics in bargaining networks. The technique reduces balancing in a bargaining network to opti...
L. Elisa Celis, Nikhil R. Devanur, Yuval Peres
GECCO
2011
Springer
224views Optimization» more  GECCO 2011»
13 years 8 days ago
Mirrored sampling in evolution strategies with weighted recombination
This paper introduces mirrored sampling into evolution strategies (ESs) with weighted multi-recombination. Two further heuristics are introduced: pairwise selection selects at mos...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
SIAMJO
2000
76views more  SIAMJO 2000»
13 years 8 months ago
Superlinear Convergence and Implicit Filtering
In this note we show how the implicit filtering algorithm can be coupled with the BFGS quasi-Newton update to obtain a superlinearly convergent iteration if the noise in the object...
T. D. Choi, C. T. Kelley
GECCO
2003
Springer
14 years 2 months ago
Coevolutionary Convergence to Global Optima
We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is...
Lothar M. Schmitt
COLT
2006
Springer
14 years 15 days ago
Unifying Divergence Minimization and Statistical Inference Via Convex Duality
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
Yasemin Altun, Alexander J. Smola