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Publications

Lyons, J. et al. (2021) “Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity”, BMJ Open, 11(1).
Lehmann, B. et al. (2021) “Optimal strategies for learning multi-ancestry polygenic scores vary across traits”, p. 2021.01.15.426781.
Holderrieth, P., Hutchinson, M. and Teh, Y. (2021) “Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes”, in Proceedings of Machine Learning Research, pp. 4297–4307.
Hutchinson, M. et al. (2021) “LieTransformer: Equivariant Self-Attention for Lie Groups”, in Proceedings of Machine Learning Research, pp. 4533–4543.
Mathieu, E., Foster, A. and Teh, Y. (2021) “On Contrastive Representations of Stochastic Processes”, in Advances in Neural Information Processing Systems, pp. 28823–28835.
Naik, C., Caron, F. and Rousseau, J. (2021) “Sparse networks with core-periphery structure”, Electronic Journal of Statistics, 15(1), pp. 1814–1868.
Wilde, H. et al. (2021) “Foundations of Bayesian Learning from Synthetic Data”, in Proceedings of Machine Learning Research, pp. 541–549.
Xu, W. and Reinert, G. (2021) “A Stein Goodness-of-fit Test for Exponential Random Graph Models”, in Proceedings of Machine Learning Research, pp. 415–423.
Fong, E. and Holmes, C. (2021) “Conformal Bayesian Computation”, in Advances in Neural Information Processing Systems, pp. 18268–18279.
Rudner, T. et al. (2021) “On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations”, in Advances in Neural Information Processing Systems, pp. 28376–28389.