Publications

Ayed, F. and Caron, F. (2021) “Nonnegative Bayesian nonparametric factor models with completely random measures”, Statistics and Computing, 31(5).

Watson, J. et al. (2021) “Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision”, eLife, 10.

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

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.

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

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.

Ton, J.-F. et al. (2021) “Noise contrastive meta-learning for conditional density estimation using kernel mean embeddings”, in. Journal of Machine Learning Research, pp. 1099–1107.