Dr Ricardo Silva
Lecturer
Statistical Science
University College London
United Kingdom
Biography
Ricardo is a Lecturer at the Department of Statistical Science and Adjunct Faculty of the Gatsby Computational Neuroscience Unit. Prior to that, Ricardo got his PhD from the newly formed Machine Learning Department at Carnegie Mellon University in 2005. Ricardo also spent two years at the Gatsby Computational Neuroscience Unit as a Senior Research Fellow, and one year as a postdoctoral researcher at the Statistical Laboratory in Cambridge.
Research Interest
Multivariate analysis, graphical models, Bayesian inference, computational statistics, relational inference, data mining and causality
Publications
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Silva R, Ghahramani Z. (2009). The hidden life of latent variables: Bayesian learning with mixed graph models. Journal of Machine Learning Research 10, 1187--1238.
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Silva R, Heller K, Ghahramani Z, Airoldi R. (2010) Ranking relations using analogies in biological and information networks. Annals of Applied Statistics, 615-644.
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Silva R, Gramacy R. (2010). Gaussian process structural equation models with latent variables. Proceedings of the 26th Conference on Uncertainty on Artificial Intelligence, UAI 2010.
