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Publications

Alfano, C. et al. (2024) “Learning mirror maps in policy mirror descent”, arXiv.
Coppock, H. et al. (2024) “Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers”, Nature Machine Intelligence, 6(2), pp. 229–242.
Fong, E., Holmes, C. and Walker, S. (2024) “Martingale posterior distributions”, Journal of the Royal Statistical Society Series B (Statistical Methodology), 85(5), pp. 1357–1391.
Ouyang, R. et al. (2024) “L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders”, arXiv.
Fong, E., Holmes, C. and Walker, S. (2024) “Authors’ reply to the Discussion of ‘Martingale Posterior Distributions’”, Journal of the Royal Statistical Society Series B (Statistical Methodology), 85(5), pp. 1413–1416.
Rivera, S. et al. (2024) “Directrices para los protocolos de ensayos clínicos de intervenciones con inteligencia artificial: la extensión SPIRIT-AI”, BULL PAN AM HEALTH ORGAN, 48, p. e12.
Johnson, E., Pike-Burke, C. and Rebeschini, P. (2024) “Sample-efficiency in multi-batch reinforcement learning: the need for dimension-dependent adaptivity”, in Proceedings of the International Conference on Learning Representations (ICLR 2024). OpenReview.
Menacher, A. et al. (2024) “Bayesian lesion estimation with a structured spike-and-slab prior”, Journal of the American Statistical Association, 119(545), pp. 66–80.
Clarkson, J. et al. (2024) “Split Conformal Prediction under Data Contamination”, in Proceedings of Machine Learning Research, pp. 5–27.
He, Y. et al. (2024) “ROBUST ANGULAR SYNCHRONIZATION VIA DIRECTED GRAPH NEURAL NETWORKS”, in 12th International Conference on Learning Representations Iclr 2024.