13 citations · 17 across the 8 of their papers we have counts for
8 papers · 1 filter
Finding Super-spreaders in SIS Epidemics
Anirudh Sridhar, Arnob Ghosh
In network epidemic models, controlling the spread of a disease often requires targeted interventions such as vaccinating high-risk individuals based on network structure. However,…
Detecting Mutual Excitations in Non-Stationary Hawkes Processes
Elchanan Mossel, Anirudh Sridhar
We consider the problem of learning the network of mutual excitations (i.e., the dependency graph) in a non-stationary, multivariate Hawkes process. We consider a general setting w…
Detecting Abrupt Changes in Point Processes: Fundamental Limits and Applications
Anna Brandenberger, Elchanan Mossel, Anirudh Sridhar
We consider the problem of detecting abrupt changes (i.e., large jump discontinuities) in the rate function of a point process. The rate function is assumed to be fully unknown, no…
Finding Super-spreaders in Network Cascades
Elchanan Mossel, Anirudh Sridhar
Suppose that a cascade (e.g., an epidemic) spreads on an unknown graph, and only the infection times of vertices are observed. What can be learned about the graph from the infectio…
Exact Community Recovery in Correlated Stochastic Block Models
Julia Gaudio, Miklos Z. Racz, Anirudh Sridhar
We consider the problem of learning latent community structure from multiple correlated networks. We study edge-correlated stochastic block models with two balanced communities, fo…
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Z. Racz, Anirudh Sridhar
We consider the task of learning latent community structure from multiple correlated networks. First, we study the problem of learning the latent vertex correspondence between two…