Talk page
Title:
Set Chasing, with an application to online shortest path
Speaker:
Abstract:
Since the late 19th century, mathematicians have realized the importance and generality of selection problems: given a collection of sets, select an element in each set, possibly in a ``nice” way. Of particular importance in computer science is the scenario where the ground set is a metric space, in which case it is natural to ask for *Lipschitz* selection (with Hausdorff distance between sets). In this talk, I will describe a far-reaching extension of this classical Lipschitz selection problem to an *online* setting, where sets are streaming to the selector. I will show how Riemannian gradient descent (aka mirror descent) can be used to approach this type of problems. I will illustrate the power of the framework by solving a long-standing problem in online shortest path known as layered graph traversal (introduced by Papadimitriou and Yannakakis in 1989).
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