Abstract: Fair allocation of resources is a central problem at the interface of economics and computer science.

Abstract:Variational quantum eigensolver (VQE) is a promising algorithm suitable for near-term quantum machines. VQE aims to approximate the lowest eigenvalue of an exponentially sized matrix in polynomial time.

Abstract:Bayesian networks are foundational objects in machine learning, playing a central role as theoretical tools to understand and organize what we know about machine learning, including hierarchical Bayesian inference, belief propagation, var

Abstract: In this talk, I shall begin with explaining a model of random graph which is an instance of non-rank-1, inhomogeneous random graph.