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» Terminating Decision Algorithms Optimally
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132
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CORR
2004
Springer
103views Education» more  CORR 2004»
15 years 3 months ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 years 9 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
139
Voted
KI
2006
Springer
15 years 3 months ago
A Framework for Quasi-exact Optimization Using Relaxed Best-First Search
Abstract. In this paper, a framework for previous and new quasi-exact extensions of the A -algorithm is presented. In contrast to previous approaches, the new methods guarantee to ...
Rüdiger Ebendt, Rolf Drechsler
126
Voted
ISCC
2005
IEEE
15 years 9 months ago
Optimizing the Reliable Distribution of Large Files within CDNs
Abstract Content Delivery Networks (CDNs) provide an efficient support for serving http and streaming media content while minimizing the network impact of content delivery as well...
Ludmila Cherkasova
IM
2007
15 years 5 months ago
Business-Driven Optimization of Policy-Based Management solutions
— We consider whether the off-line compilation of a set of Service Level Agreements (SLAs) into low-level management policies can lead to the runtime maximization of the overall ...
Issam Aib, Raouf Boutaba