Publications

Mitra, R. et al. (2023) “Learning from data with structured missingness”, Nature Machine Intelligence, 5(1), pp. 13–23.

Venkatesh, S. et al. (2023) “The genetic architecture of changes in adiposity during adulthood”, medRxiv.

Williams, C. et al. (2023) “A Unified Framework for U-Net Design and Analysis”, in Advances in Neural Information Processing Systems.

Zaidi, S. et al. (2023) “When Does Re-initialization Work?”, in Proceedings of Machine Learning Research, pp. 12–26.

Ghalebikesabi, S. et al. (2023) “Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates”, in Proceedings of Machine Learning Research, pp. 658–668.

Jewson, J., Ghalebikesabi, S. and Holmes, C. (2023) “Differentially Private Statistical Inference through β-Divergence One Posterior Sampling”, in Advances in Neural Information Processing Systems.

Bajaj, S. et al. (2023) “Understanding COVID-19 testing behaviour in England through a sociodemographic lens”, medRxiv.

Ayed, F., Lee, J. and Caron, F. (2022) “The Normal-Generalised Gamma-Pareto process: a novel pure-jump Levy process with flexible tail and jump-activity properties”, Bayesian Analysis, 19(1), pp. 123–152.

Dupont, E. et al. (2022) “COIN++: neural compression across modalities”, Transactions on Machine Learning Research, 2022(11).