382 citations · 1.4k across the 45 of their papers we have counts for
12 papers · 1 filter
Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities
Amulya Yadav
This thesis proposal makes the following technical contributions: (i) we provide a definition of the Dynamic Influence Maximization Under Uncertainty (or DIME) problem, which model…
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
Sanket Shah, Arunesh Sinha, Pradeep Varakantham +2
Large-scale screening for potential threats with limited resources and capacity for screening is a problem of interest at airports, seaports, and other ports of entry. Adversaries…
MIPaaL: Mixed Integer Program as a Layer
Aaron Ferber, Bryan Wilder, Bistra Dilkina +1
Machine learning components commonly appear in larger decision-making pipelines; however, the model training process typically focuses only on a loss that measures accuracy between…
Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling
Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder +2
A serious challenge when finding influential actors in real-world social networks is the lack of knowledge about the structure of the underlying network. Current state-of-the-art m…
End to end learning and optimization on graphs
Bryan Wilder, Eric Ewing, Bistra Dilkina +1
Real-world applications often combine learning and optimization problems on graphs. For instance, our objective may be to cluster the graph in order to detect meaningful communitie…
Group-Fairness in Influence Maximization
Alan Tsang, Bryan Wilder, Eric Rice +2
Influence maximization is a widely used model for information dissemination in social networks. Recent work has employed such interventions across a wide range of social problems,…