Publications

Jewson, J., Smith, J. and Holmes, C. (2018) “Principles of Bayesian inference using general divergence criteria”, Entropy, 20(6), p. 442.

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

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

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

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.

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

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.

Willetts, M. et al. (2018) “Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants”, Scientific Reports, 8.

Glaire, M. et al. (2018) “Tumour-infiltrating CD8 + lymphocytes as a prognostic marker in colorectal cancer: A retrospective, pooled analysis of the QUASAR2 and VICTOR trials.”, Journal of Clinical Oncology. American Society of Clinical Oncology (ASCO).

Elliott, L. et al. (2018) “Modeling population structure under hierarchical Dirichlet processes”, Bayesian Analysis, 14(2), pp. 313–339.