Publications

Czarnecki, W. et al. (2018) “Mix&Match - Agent Curricula for Reinforcement Learning.”

Holmes, C. and Watson, J. (2018) “Machine learning for randomised controlled trials: identifying treatment effectheterogeneity with strict control of type I error”, p. 330795.

Rebeschini, P. and Tatikonda, S. (2018) “Locality in network optimization”, IEEE Transactions on Control of Network Systems, 6(2), pp. 487–500.

Brown, S. et al. (2018) “High-throughput mouse phenomics for characterizing mammalian gene function”, Nature Reviews Genetics, 19(6), pp. 357–370.

Battiston, M. et al. (2018) “A characterization of product-form exchangeable feature probability functions”, Annals of Applied Probability, 28(3), pp. 1423–1448.

Bǎrbos, A. et al. (2018) “Clone MCMC: Parallel high-dimensional Gaussian gibbs sampling”, in Advances in Neural Information Processing Systems 30: 31st Annual Conference on Neural Information Processing Systems (NIPS 2017). Curran Associates, pp. 5021–5029.

Calder, M. et al. (2018) “Computational modelling for decision-making: where, why, what, who and how”, Royal Society Open Science, 5(6), p. 172096.

Tatikonda, S. and Rebeschini, P. (2018) “Accelerated consensus via Min-Sum Splitting”, in Advances in Neural Information Processing Systems 30: 31st Annual Conference on Neural Information Processing Systems (NIPS 2017). Curran Associates, pp. 1375–1385.

Donnelly, C. et al. (2018) “Four principles to make evidence synthesis more useful for policy”, Nature, 558(7710), pp. 361–364.

Radhakrishnan, S. et al. (2018) “A question of accessibility: modelling the effects of demography and accessibility for vaccination on elimination of rabies in free-ranging dog populations in India..”