Linear regression is an important tool across many fields that work with...
The study of private inference has been sparked by growing concern regar...
We investigate the problem of learning discrete, undirected graphical mo...
We address the problem of estimating the parameters of a time-homogeneou...
A novel unified Bayesian framework for network detection is developed, u...
Network detection is an important capability in many areas of applied
re...