Some important conceptual problems concerning the application of chance constrained programming (CCP) to risky practical decision problems are discussed by comparing CCP to stochastic programming with ...

In this paper, we analyze a generalization of a classic network-flow model. The generalization involves the replacement of deterministic demand with stochastic demand. While this generalization ...

Research areas: Machine Learning-Augmented Optimization, Probabilistic Machine Learning, Large-Scale Combinatorial Optimization, Stochastic Programming, Uncertainty Quantification, Supply/Value Chain ...

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. These fields often deal with unpredictable phenomena—like ...