195 citations · 577 across the 20 of their papers we have counts for
5 papers · 1 filter
Graph Learning Under Partial Observability
Vincenzo Matta, Augusto Santos, Ali H. Sayed
Many optimization, inference and learning tasks can be accomplished efficiently by means of decentralized processing algorithms where the network topology (i.e., the graph) plays a…
Interplay between Topology and Social Learning over Weak Graphs
Vincenzo Matta, Virginia Bordignon, Augusto Santos +1
We consider a social learning problem, where a network of agents is interested in selecting one among a finite number of hypotheses. We focus on weakly-connected graphs where the n…
Social Learning with Partial Information Sharing
Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
This work studies the learning abilities of agents sharing partial beliefs over social networks. The agents observe data that could have risen from one of several hypotheses and in…
Topology Inference over Networks with Nonlinear Coupling
Augusto Santos, Vincenzo Matta, Ali H. Sayed
This work examines the problem of topology inference over discrete-time nonlinear stochastic networked dynamical systems. The goal is to recover the underlying digraph linking the…
Graph Learning over Partially Observed Diffusion Networks: Role of Degree Concentration
Vincenzo Matta, Augusto Santos, Ali H. Sayed
This work examines the problem of graph learning over a diffusion network when data can be collected from a limited portion of the network (partial observability). The main questio…