Juan Borrero

Maximum Likelihood Probability Measures over Sets and Applications to Data-Driven Optimization

  • Juan Borrero
  • Denis Saure
    • Categories Applications - OR and Management Sciences, Optimization in Data Science, Robust Optimization Tags , ,

    \(\) Motivated by data-driven approaches to sequential decision-making under uncertainty, we study maximum likelihood estimation of a distribution over a general measurable space when, unlike traditional setups, realizations of the underlying uncertainty are not directly observable but instead are known to lie within observable sets. While extant work studied the special cases when the observed … Read more

    Interdicting Low-Diameter Cohesive Subgroups in Large-Scale Social Networks

  • Niloufar Daemi
  • Juan Borrero
  • Balabhaskar Balasundaram
    • Categories (Mixed) Integer Linear Programming, Graphs and Matroids, Network Optimization Tags , ,

    The s-clubs model cohesive social subgroups as vertex subsets that induce subgraphs of diameter at most s. In defender-attacker settings, for low values of s, they can represent tightly-knit communities whose operation is undesirable for the defender. For instance, in online social networks, large communities of malicious accounts can effectively propagate undesirable rumors. In this … Read more

    Graph Signatures: Identification and Optimization

  • Balabhaskar Balasundaram
  • Juan Borrero
  • Hao Pan
    • Categories Graphs and Matroids

    We introduce a new graph-theoretic paradigm called a graph signature that describes persistent patterns in a sequence of graphs. This framework is motivated by the need to detect subgraphs of significance in temporal networks, e.g., social and biological networks that evolve over time. Because the subgraphs of interest may not all “look alike” in the … Read more