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

Abstract: In a multi-armed bandit problem a gambler needs to choose at each round one of K arms, each characterized by an unknown reward distribution.

Abstract: The work is devoted to cooperative and coalitional game-theoretic methods for community detection in networks.The traditional methods for detecting community structure are based on selecting dense subgraphs inside the network.