2 citations · 3 across the 2 of their papers we have counts for
4 papers
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei +3
Influence maximization is a widely studied topic in network science, where the aim is to reach the maximum possible number of nodes, while only targeting a small initial set of ind…
Learning Mixtures of Graphs from Epidemic Cascades
Jessica Hoffmann, Soumya Basu, Surbhi Goel +1
We consider the problem of learning the weighted edges of a balanced mixture of two undirected graphs from epidemic cascades. While mixture models are popular modeling tools, algor…
Learning Graphs from Noisy Epidemic Cascades
Jessica Hoffmann, Constantine Caramanis
We consider the problem of learning the weighted edges of a graph by observing the noisy times of infection for multiple epidemic cascades on this graph. Past work has considered t…
Robust estimation of tree structured Gaussian Graphical Model
Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis
Consider jointly Gaussian random variables whose conditional independence structure is specified by a graphical model. If we observe realizations of the variables, we can compute t…