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Computational stochastic programming with stochastic decomposition
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Stochastic optimization in high dimension
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Dynamic routing and rate control in stochastic network optimization: from theory to practice
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Learning and control in decentralized stochastic systems
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Models and solution approaches for facility location of medical supplies for large-scale emergencies
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Landscape analysis and algorithms for large scale non-convex optimization
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Stochastic models: simulation and heavy traffic analysis
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Efficient stochastic simulations of hydrogeological systems: from model complexity to data assimilation
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The fusion of predictive and prescriptive analytics via stochastic programming
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Algorithms for stochastic Galerkin projections: solvers, basis adaptation and multiscale modeling and reduction
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Empirical methods in control and optimization
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Stochastic dynamic power and thermal management techniques for multicore systems
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Online learning algorithms for network optimization with unknown variables
Elements of robustness and optimal control for infrastructure networks
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Essays on capacity sizing and dynamic control of large scale service systems
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Optimizing task assignment for collaborative computing over heterogeneous network devices
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Optimizing distributed storage in cloud environments
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Stochastic data assimilation with application to multi-phase flow and health monitoring problems
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Monte Carlo methods of forward backward stochastic differential equations in high dimensions
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Spectral optimization and uncertainty quantification in combustion modeling
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Optimization of relative motion rendezvous via modified particle swarm and primer vector theory
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Optimal routing through stochastic networks
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Balancing local resources and global goals in multiply-constrained distributed constraint optimization
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On scheduling, timeliness and security in large scale distributed computing
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Inference for stochastic models of molecular data
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