Publications

Wymant, C. et al. (2021) “The epidemiological impact of the NHS COVID-19 app”, Nature, 594(7863), pp. 408–412.

He, Y., Reinert, G. and Cucuringu, M. (2021) “DIGRAC: Digraph Clustering Based on Flow Imbalance”, in.

Chau, S. et al. (2021) “BayesIMP: Uncertainty Quantification for Causal Data Fusion”, arXiv.

Wu, F. and Rebeschini, P. (2021) “Implicit Regularization in Matrix Sensing via Mirror Descent”, arXiv.

Nicholson, G. et al. (2021) “Local prevalence of transmissible SARS-CoV-2 infection: an integrative causal model for debiasing fine-scale targeted testing data”, p. 2021.05.17.21256818.

Wu, F. and Rebeschini, P. (2021) “Nearly Minimax-Optimal Rates for Noisy Sparse Phase Retrieval via Early-Stopped Mirror Descent”, arXiv.

Klimm, F., Deane, C. and Reinert, G. (2021) “Hypergraphs for predicting essential genes using multiprotein complex data”, Journal of Complex Networks, 9(2).

Maddison, C. et al. (2021) “Dual space preconditioning for gradient descent”, SIAM Journal on Optimization, 31(1), pp. 991–1016.

Joy, T. et al. (2021) “Capturing label characteristics in VAEs”, in Proceedings of the International Conference on Learning Representations (ICLR 2020). OpenReview.

Jiang, X. et al. (2021) “Modelling the impact of rapid tests, tracing and distancing in lower-income countries suggest that optimal policies vary with rural-urban settings”, p. 2021.03.17.21253853.