Distance-Based Influence in Networks: Computation and Maximization
Stability of Influence Maximization
Rhythms of Information Flow through Networks
On the Convexity of Latent Social Network Inference
Machine Learning in Computational Biology (the frequentist approach)
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
A message-passing approach to stochastic optimization and inverse dynamical problems
Markov Chain Monte Carlo
Modeling Social and Information Networks: Opportunities for Machine Learning
Object Identification by Statistical Methods