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INFOCOM
2012
IEEE
8 years 5 months ago
Data centers power reduction: A two time scale approach for delay tolerant workloads
—In this work we focus on a stochastic optimization based approach to make distributed routing and server management decisions in the context of large-scale, geographically distr...
Yuan Yao, Longbo Huang, Abhishek Sharma, Leana Gol...
ICASSP
2011
IEEE
9 years 6 months ago
Stochastic optimization based on the Laplace transform order with applications to precoder designs
Stochastic optimization arising from precoding in a multi-antenna fading channel with channel mean feedback to maximize data rates is important but challenging. The use of relayin...
Minhua Ding, Keith Q. T. Zhang
MOR
2007
149views more  MOR 2007»
10 years 2 months ago
LP Rounding Approximation Algorithms for Stochastic Network Design
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...
Anupam Gupta, R. Ravi, Amitabh Sinha
MP
2008
137views more  MP 2008»
10 years 2 months ago
Valid inequalities and restrictions for stochastic programming problems with first order stochastic dominance constraints
Stochastic dominance relations are well-studied in statistics, decision theory and economics. Recently, there has been significant interest in introducing dominance relations into...
Nilay Noyan, Andrzej Ruszczynski
CCE
2008
10 years 2 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
FSTTCS
2006
Springer
10 years 6 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
10 years 8 months ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
ICAART
2010
INSTICC
10 years 11 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
ICPR
2006
IEEE
11 years 3 months ago
A Global Solution to the SFS Problem Using B-spline Surface and Simulated Annealing
This paper restates the shape from shading problem regarding both surface modeling and optimization. We combine the use of a B-spline as 3D model for the scene surface and the use...
Frédéric Courteille, Jean-Denis Duro...
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