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We will discuss a general global perspective, and then a North America focus on current and future supply chain challenges relative to infrastructure constraints. An overview of omni-channel dynamics…

In this talk we construct a net around the unit sphere with good properties. We show that with exponentially high probability, the value of |Ax| on the sphere can be approximated well using this net,…

Stochastic Gradient Descent-type (SGD) algorithms have been widely applied to many non-convex optimization problems in machine learning, e.g., training deep neural networks, variational Bayesian…

Selfish behavior can often lead to suboptimal outcome for all participants, a phenomenon illustrated by many classical examples in game theory. Over the last decade we have studied Nash equilibria…

Urban logistics automation is collapsing traditional boundaries between storage and delivery, extending the warehouse presence in the built environment. At the same time, the growth of e-commerce…