Publications

Richards, D., Negahban, S. and Rebeschini, P. (2021) “Distributed machine learning with sparse heterogeneous data”, in Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Neural Information Processing Systems Foundation, pp. 18008–18020.

Redd, R. et al. (2021) “Behavioural responses to SARS-CoV-2 antibody testing in England: REACT-2 study”, Wellcome Open Research, 6, p. 203.

Hillis, S. et al. (2021) “COVID-19-associated orphanhood and caregiver death in the United States”, Pediatrics, 148(6).

McCabe, R. et al. (2021) “Communicating uncertainty in epidemic models”, Epidemics, 37, p. 100520.

Parag, K., Cowling, B. and Donnelly, C. (2021) “Deciphering early-warning signals of SARS-CoV-2 elimination and resurgence from limited data at multiple scales”, Journal of The Royal Society Interface, 18(185), p. 20210569.

Farghly, T. and Rebeschini, P. (2021) “Time-independent Generalization Bounds for SGLD in Non-convex Settings”, arXiv.

Mallon, A.-M. et al. (2021) “Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis”, BMC Medical Research Methodology, 21(1).

Padellini, T. et al. (2021) “Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: a space-time study.”, medRxiv [Preprint].

McCabe, R. et al. (2021) “Communicating uncertainty in epidemic models”, Epidemics, 37.

Williams, L. et al. (2021) “Measuring vaccine efficacy against infection and disease in clinical trials: sources and magnitude of bias in COVID-19 vaccine efficacy estimates”, Clinical Infectious Diseases, 75(1), pp. e764 - e773.