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» Optimization of Convex Risk Functions
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SIAMJO
2008
85views more  SIAMJO 2008»
13 years 10 months ago
Explicit Reformulations for Robust Optimization Problems with General Uncertainty Sets
We consider a rather general class of mathematical programming problems with data uncertainty, where the uncertainty set is represented by a system of convex inequalities. We prove...
Igor Averbakh, Yun-Bin Zhao
SWAT
2010
Springer
279views Algorithms» more  SWAT 2010»
14 years 3 months ago
Online Function Tracking with Generalized Penalties
We attend to the classic setting where an observer needs to inform a tracker about an arbitrary time varying function f : N0 → Z. This is an optimization problem, where both wron...
Marcin Bienkowski, Stefan Schmid
MP
2006
106views more  MP 2006»
13 years 10 months ago
Worst-case distribution analysis of stochastic programs
We show that for even quasi-concave objective functions the worst-case distribution, with respect to a family of unimodal distributions, of a stochastic programming problem is a u...
Alexander Shapiro
NIPS
2008
13 years 11 months ago
Tighter Bounds for Structured Estimation
Large-margin structured estimation methods minimize a convex upper bound of loss functions. While they allow for efficient optimization algorithms, these convex formulations are n...
Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexan...
INFOCOM
2012
IEEE
12 years 24 days ago
Delay and rate-optimal control in a multi-class priority queue with adjustable service rates
—We study two convex optimization problems in a multi-class M/G/1 queue with adjustable service rates: minimizing convex functions of the average delay vector, and minimizing ave...
Chih-Ping Li, Michael J. Neely