University of Oxford, Department of Statistics logo
University of Oxford, Department of Statistics logo
To Department of Statistics Site

Publications

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”, pp. 2021.05.17.21256818 – 2021.05.17.21256818.
Wymant, C. et al. (2021) “The epidemiological impact of the NHS COVID-19 app”, Nature, 594(7863), pp. 408–412.
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.
Chan, L., Morris, G. and Hutchison, G. (2021) “Understanding conformational entropy in small molecules”, Journal of Chemical Theory and Computation, 17(4), pp. 2099–2106.
Chan, L., Morris, G. and Hutchison, G. (2021) “Understanding conformational entropy in small molecules”, Journal of Chemical Theory and Computation, 17(4), pp. 2099–2106.