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.

Abstract: Given an $n \times n$  rational matrix A, a vector $u \in \mathbb{Q}^n$ and an affine subspace $W \subset \mathbb{Q}^n$ , the affine subspace reachability problem asks whether there exists $t \in \mathbb{N}$ such that $A

Abstract: The year was 1953. Rajendra Prasad was still the president of India after winning the presidential election one year prior.