17 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.LG2018★ 17 cited
Bayesian Semi-supervised Learning with Graph Gaussian Processes
Yin Cheng Ng, Nicolo Colombo, Ricardo Silva
We propose a data-efficient Gaussian process-based Bayesian approach to the semi-supervised learning problem on graphs. The proposed model shows extremely competitive performance w…
stat.ML2010★ 3 cited
Mixed Cumulative Distribution Networks
Ricardo Silva, Charles Blundell, Yee Whye Teh
Directed acyclic graphs (DAGs) are a popular framework to express multivariate probability distributions. Acyclic directed mixed graphs (ADMGs) are generalizations of DAGs that can…