Abstract: An abstract set system, or hypergraph, consists of a universe (here assumed finite), together with a subset of its power set.

Abstract: We are confronted with very high dimensional data sets. As a result, methods of dealing with high dimensional data have become prominent. One geometrically motivated approach for analyzing data is called manifold learning.

Abstract: In this talk, I will survey a collection of results that study qualitative and quantitative complexity of (multi-party) functions, with respect to how "easy" or "hard" they are for Secure Multi-party Computation.

Abstract: Models based on Ordinary Differential Equations (ODEs) or their stochastic counterparts are routinely applied in systems biology to understand, analyze and predict properties and behaviour of biomolecular dynamical systems, such

We study the performance of static solutions for two-stage adjustable robust linear optimization problems with uncertain constraint and objective coefficients and give a tight characterization of the adaptivity gap.