Inferring the structure and scale of modular networks
Parallel Gibbs Sampling for Hierarchical Dirichlet Processes via Gamma Processes Equivalence
Multimodal Learning with Deep Boltzmann Machines
Graphical Models
Topic Models
Approximate inference for continuous time Markov processes
Latent Factor Models for Relational Arrays and Network Data
Spotlights 4
Machine Learning, Probability and Graphical Models
The optimistic principle for online planning in Markov decision processes