Consultancy work: Random graphs, learning on networks, statistical inference, Bayesian non-parametric inference
Outreach: Learning from data on networks; dynamics of protein interaction networks
http://www.kcl.ac.uk/schools/nms/maths/research/dissys/
Key publications:
P. Sollich, M. Urry and C. Coti, Kernels and learning curves for Gaussian process regression on random graphs, Advances in Neural Information Processing Systems 22, pages 1723-1731, MIT Press (2009)
M Urry and P Sollich. Exact learning curves for Gaussian process regression on large random graphs. In J Lafferty and C K I Williams and J Shawe-Taylor and R S Zemel and A Culotta, editors, Advances in Neural Information Processing Systems 23, pages 2316-2324, 2010.
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