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CDC
2010
IEEE
117views Control Systems» more  CDC 2010»
14 years 6 months ago
Distributed iterative regularization algorithms for monotone Nash games
In this paper, we consider the development of single-timescale schemes for the distributed computation of Nash equilibria. In general, equilibria associated with convex Nash games ...
Aswin Kannan, Uday V. Shanbhag
CDC
2010
IEEE
104views Control Systems» more  CDC 2010»
14 years 6 months ago
Single timescale regularized stochastic approximation schemes for monotone Nash games under uncertainty
Abstract-- In this paper, we consider the distributed computation of equilibria arising in monotone stochastic Nash games over continuous strategy sets. Such games arise in setting...
Jayash Koshal, Angelia Nedic, Uday V. Shanbhag
IFIP
2007
Springer
15 years 5 months ago
Elliptic Control by Penalty Techniques with Control Reduction
The paper deals with the numerical treatment of optimal control problems with bounded distributed controls and elliptic state equations by a wider class of barrier-penalty methods...
Christian Grossmann, Holger Kunz, Robert Meischner
CAGD
2011
14 years 6 months ago
Regularization of B-spline objects
By a d-dimensional B-spline object (denoted as Od ), we mean a B-spline curve (d = 1), a B-spline surface (d = 2) or a B-spline volume (d = 3). By regularization of a B-spline obj...
Guoliang Xu, Chandrajit L. Bajaj
ML
2002
ACM
178views Machine Learning» more  ML 2002»
14 years 11 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey