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University of Oxford, Department of Statistics logo
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Publications

Joy, T. et al. (2022) “Learning multimodal VAEs through mutual supervision”, in International Conference on Learning Representations. OpenReview.
He, Y. et al. (2022) “SSSNET: semi-supervised signed network clustering”, in Proceedings of the SIAM International Conference on Data Mining (SDM22). Society for Industrial and Applied Mathematics, pp. 244–252.
Willetts, M. et al. (2022) “Author Correction: Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.”, Scientific reports, 12(1), p. 6024.
Unsworth, H. et al. (2022) “Building an evidence standards framework for artificial intelligence-enabled digital health technologies”, The Lancet Digital Health, 4(4), pp. e216 - e217.
Padellini, T. et al. (2022) “Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study”, The Lancet Regional Health - Europe, 15, p. 100322.
Oravkin, E. and Rebeschini, P. (2022) “On optimal interpolation in linear regression”, in. Neural Information Processing Systems Foundation, pp. 29116–29128.
Clarkson, J. et al. (2022) “DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.”
Wilsenach, J. et al. (2022) “Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics.”
Wilsenach, J. et al. (2022) “Ranking of communities in multiplex spatiotemporal models of brain dynamics ”, Applied Network Science, 7.
Kanade, V., Rebeschini, P. and Vaskevicius, T. (2022) “Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition”, arXiv.