We consider the problem of partitioning a set of items into unlabeled subsets so as to
optimize an additive objective, ie, the objective function value of a partition is equal to the …

Machine learning algorithms have been increasingly integrated into applications that
significantly affect human lives. This surged an interest in designing algorithms that train …

We provide an optimization-based framework that identifies social separation policies to
mitigate the spread of diseases in social networks. The study considers subject-specific risk …

The set partitioning problem (SPP) is the task of partitioning a finite set of items in a manner
that optimizes a certain objective function. For a given finite set made up of N∈ N+ items …

We investigate the problem of screening a large population for an infectious disease (ie,
classifying subjects as positive or negative) using group testing while considering important …