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» Optimization of Convex Risk Functions
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GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
14 years 2 months ago
Using convex hulls to represent classifier conditions
This papers presents a novel representation of classifier conditions based on convex hulls. A classifier condition is represented by a sets of points in the problem space. These p...
Pier Luca Lanzi, Stewart W. Wilson
EOR
2007
113views more  EOR 2007»
13 years 10 months ago
Duality for location problems with unbounded unit balls
Abstract. Given an optimization problem with a composite of a convex and componentwise increasing function with a convex vector function as objective function, by means of the conj...
Gert Wanka, Radu Ioan Bot, Emese Vargyas
CORR
2010
Springer
198views Education» more  CORR 2010»
13 years 7 months ago
Convex Graph Invariants
The structural properties of graphs are usually characterized in terms of invariants, which are functions of graphs that do not depend on the labeling of the nodes. In this paper ...
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. W...
COLT
1997
Springer
14 years 2 months ago
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach
Abstract. We propose a convex optimization approach to solving the nonparametric regression estimation problem when the underlying regression function is Lipschitz continuous. This...
Dimitris Bertsimas, David Gamarnik, John N. Tsitsi...
APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
14 years 8 days ago
Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
Evdokia Nikolova