It is shown that the axioms for coherent risk measures imply that whenever there is a pair of portfolios such that one of them dominates the other one in a given sample (which hap...
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
In this paper, we study the problem of dynamic allocation of the resources of a general parallel processing system, comprised of M heterogeneous processors and M heterogeneous tra...
Kimberly M. Wasserman, George Michailidis, Nichola...
Stochastic dominance constraints allow a decision-maker to manage risk in an optimization setting by requiring their decision to yield a random outcome which stochastically domina...
Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...