Publications

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.

Behr, M., Holmes, C. and Munk, A. (2018) “Multiscale blind source separation”, The Annals of Statistics, 46(2), pp. 711–744.

Miscouridou, X., Caron, F. and Teh, Y. (2018) “Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data”, arXiv.

Kafkafi, N. et al. (2018) “Reproducibility and replicability of rodent phenotyping in preclinical studies”, Neuroscience and biobehavioral reviews, 87, pp. 218–232.

Rowland, M. et al. (2018) “An analysis of categorical distributional reinforcement learning”, in International Conference on Artificial Intelligence and Statistics, AISTATS 2018, pp. 29–37.

Webb, S. et al. (2018) “Faithful inversion of generative models for effective amortized inference”, in Advances in Neural Information Processing Systems.

Rainforth, T. et al. (2018) “Tighter variational bounds are not necessarily better”, in 35th International Conference on Machine Learning, ICML 2018.