Publications

Willetts, M., Roberts, S. and Holmes, C. (2020) “Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels”, in. Institute of Electrical and Electronics Engineers (IEEE), pp. 5286–5295.

Wu, F. and Rebeschini, P. (2020) “A continuous-time mirror descent approach to sparse phase retrieval”, in Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Neural Information Processing Systems Foundation, Inc., pp. 1–12.

Vaškevičius, T., Kanade, V. and Rebeschini, P. (2020) “The statistical complexity of early-stopped mirror descent”, in. Neural Information Processing Systems Foundation, Inc., pp. 1–12.

Unwin, H. et al. (2020) “State-level tracking of COVID-19 in the United States”, Nature Communications, 11(1), p. 6189.

Riley, S. et al. (2020) “REACT-1 round 7 interim report: fall in prevalence of swab-positivity in England during national lockdown”, p. 2020.11.30.20239806.

Grassly, N. et al. (2020) “Comparison of molecular testing strategies for COVID-19 control: a mathematical modelling study”, The Lancet Infectious Diseases, 20(12), pp. 1381–1389.

Watson, J. and Holmes, C. (2020) “Machine learning analysis plans for randomised controlled trials: detecting treatment effect heterogeneity with strict control of type I error”, Trials, 21(1), p. 156.

Watson, J. and Holmes, C. (2020) “Correction to: Graphing and reporting heterogeneous treatment effects through reference classes”, Trials, 21(1), p. 865.

Dighe, A. et al. (2020) “Response to COVID-19 in South Korea and implications for lifting stringent interventions”, BMC Medicine, 18(1), p. 321.

Kendall, M. et al. (2020) “Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis”, The Lancet Digital Health, 2(12), pp. e658 - e666.