Publications

Clivio, O. et al. (2022) “Neural Score Matching for High-Dimensional Causal Inference”, in Proceedings of Machine Learning Research, pp. 7076–7110.

Eales, O. et al. (2022) “Quantifying changes in the IFR and IHR over 23 months of the SARS-CoV-2 pandemic in England”, medRxiv.

Eales, O. et al. (2022) “Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number”, medRxiv.

Taufiq, M. et al. (2022) “Conformal Off-Policy Prediction in Contextual Bandits”, in Advances in Neural Information Processing Systems.

Parag, K., Donnelly, C. and Zarebski, A. (2022) “Quantifying the information in noisy epidemic curves”, medRxiv.

Penn, M. and Donnelly, C. (2022) “Optimality of Maximal-Effort Vaccination”, medRxiv.

Hillis, S. et al. (2021) “COVID-19-Associated Orphanhood and Caregiver Death in the United States”, arXiv.

Elliott, P. et al. (2021) “Exponential growth, high prevalence of SARS-CoV-2, and vaccine effectiveness associated with the Delta variant”, Science, 374(6574), p. eabl9551.

Wu, F. and Rebeschini, P. (2021) “Implicit regularization in matrix sensing via mirror descent”, in Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Neural Information Processing Systems Foundation.

Farghly, T. and Rebeschini, P. (2021) “Time-independent generalization bounds for SGLD in non-convex settings”, in Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Neural Information Processing Systems Foundation, pp. 19836–19846.