Information cascade in online social networks can be rather negative, eg, the spread of
rumors may trigger panic. To limit the influence of misinformation in an effective and efficient …

Evaluating influence spread in social networks is a fundamental procedure to estimate the
word-of-mouth effect in viral marketing. There are enormous studies about this topic; …

Trade in Africa is likely to increase and alter significantly during the next decade. Intra-
African trade has shown significant potential to reinvigorate African commerce. Logistics and …

We consider bandit combinatorial optimization (BCO) problems. A BCO instance generally
has a huge set of all feasible solutions, which we call the action set. To avoid dealing with …

We study the influence minimization problem: given a graph $ G $ and a seed set $ S $,
blocking at most $ b $ nodes or $ b $ edges such that the influence spread of the seed set is …

Probabilistic programming is an area of research that aims to develop general inference
algorithms for probabilistic models expressed as probabilistic programs whose execution …

The integration of abduction and induction has lead to a variety of non-monotonic ILP
systems. XHAIL is one of these systems, in which abduction is used to compute hypotheses …

We consider the adversarial combinatorial multi-armed bandit (CMAB) problem, whose
decision set can be exponentially large with respect to the number of given arms. To avoid …

Abstract “Static, incomplete, superficial, wrong”. The traditional approach to risk analysis, as
applied in the process industries, has been largely criticized in response to recent major …

This dissertation is devoted to online, submodular, and polynomial optimization problems,
all of which have been important research subjects in terms of both theory and practice. With …