Graph convolutional networks (GCNs) allow us to learn topologically-awar...
Random forests are a popular method for classification and regression du...
Machine learning methods allow us to make recommendations to users in
ap...
Interaction graphs, such as those recording emails between individuals o...
We develop a scalable multi-step Monte Carlo algorithm for inference und...
Dependent nonparametric processes extend distributions over measures, su...
We present a general construction for dependent random measures based on...
Distributions over exchangeable matrices with infinitely many columns, s...
A single, stationary topic model such as latent Dirichlet allocation is
...
Latent feature models are attractive for image modeling, since images
ge...