Uncertainty quantification

Luby, A., Mazumder, A. and Junker, B., 2019. Psychometric Analysis of Forensic Examiner Behavior. arXiv preprint arXiv:1910.07447.

Data Study Group team. (2019, August 13). Data Study Group Final Report: AstraZeneca. Zenodo. http://doi.org/10.5281/zenodo.3367412

Fong, Edwin & Holmes, Chris. (2019). On the marginal likelihood and cross-validation. arXiv:1905.08737.

Hamelijnck. O., Damoulas. T., Wang. K. & Girolami. M. (2019). Multi-resolution Multi-task Gaussian Processes. In Advances in Neural Information Processing Systems 32 (NeurIPS'19).

Aglietti. V., Bonilla. E., Damoulas. T. & Cripps. S. (2019). Structured Variational Inference in Continuous Cox Process Models. In Advances in Neural Information Processing Systems 32 (NeurIPS'19).

Edwin Fong, Simon Lyddon, Chris Holmes; Proceedings of the 36th International Conference on Machine Learning, PMLR 97:1952-1962, 2019.

On stochastic gradient Langevin dynamics with dependent data streams: the fully non-convex case Chau, N. H.; Moulines, É.; Rásonyi, M.; Sabanis, S.; Zhang, Y. 2018. In Print, SIAM Journal on Mathematics of Data Science. arXiv:1905.13142 [math.ST]

Knoblauch, J., Jewson, J. and Damoulas, T. (2019). Generalized Variational Inference. arXiv:1904.02063.

Yau, C. & Campbell, K. Biophys Rev (2019). https://doi.org/10.1007/s12551-019-00499-1