841 citations · 1.2k across the 34 of their papers we have counts for
6 papers · 1 filter
Causal discovery under a confounder blanket
David S. Watson, Ricardo Silva
Inferring causal relationships from observational data is rarely straightforward, but the problem is especially difficult in high dimensions. For these applications, causal discove…
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders
Sorawit Saengkyongam, Ricardo Silva
We propose an approach to estimate the effect of multiple simultaneous interventions in the presence of hidden confounders. To overcome the problem of hidden confounding, we consid…
Two-way sparsity for time-varying networks, with applications in genomics
Thomas E. Bartlett, Ioannis Kosmidis, Ricardo Silva
We propose a novel way of modelling time-varying networks, by inducing two-way sparsity on local models of node connectivity. This two-way sparsity separately promotes sparsity acr…
Bayesian Inference for Gaussian Mixed Graph Models
Ricardo Silva, Zoubin Ghahramani
We introduce priors and algorithms to perform Bayesian inference in Gaussian models defined by acyclic directed mixed graphs. Such a class of graphs, composed of directed and bi-di…
Ranking relations using analogies in biological and information networks
Ricardo Silva, Katherine Heller, Zoubin Ghahramani +1
Analogical reasoning depends fundamentally on the ability to learn and generalize about relations between objects. We develop an approach to relational learning which, given a set…
On estimating covariances between many assets with histories of highly variable length
Robert B. Gramacy, Joo Hee Lee, Ricardo Silva
Quantitative portfolio allocation requires the accurate and tractable estimation of covariances between a large number of assets, whose histories can greatly vary in length. Such d…