Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the est...
We study the problem of enabling general 2D and 3D variational constraint representation to be used in conjunction with a feature hierarchy representation, where some of the featu...
Meera Sitharam, Jianjun Oung, Yong Zhou, Adam Arbr...
We use game theorectic models to show the lack of incentives in the TCP congestion avoidance algorithm and the consequential systemwide network problems. We then propose a Vickery-...
We introduce some generalizations of a nice combinatorial problem, the central notion of which is the so-called Disease Process. Let us color independently each square of an n×n c...