| Probabilistic linear multistep methods O Teymur, K Zygalakis, B Calderhead Advances in Neural Information Processing Systems 29, 4321-4328, 2016 | 38 | 2016 |
| Implicit probabilistic integrators for ODEs O Teymur, HC Lie, T Sullivan, B Calderhead Advances in Neural Information Processing Systems 31, 7244-7253, 2018 | 32 | 2018 |
| Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy O Teymur, J Gorham, M Riabiz, C Oates Proceedings of The 24th International Conference on Artificial Intelligence …, 2020 | 29 | 2020 |
| Post-processing of MCMC LF South, M Riabiz, O Teymur, CJ Oates Annual Review of Statistics and Its Application 9, 2021 | 26 | 2021 |
| Testing whether a learning procedure is calibrated J Cockayne, MM Graham, CJ Oates, TJ Sullivan, O Teymur The Journal of Machine Learning Research 23 (1), 9213-9248, 2022 | 11 | 2022 |
| Black box probabilistic numerics O Teymur, C Foley, P Breen, T Karvonen, CJ Oates Advances in Neural Information Processing Systems 34, 23452-23464, 2021 | 6 | 2021 |
| Contributed discussion on article by Chkrebtii, Campbell, Calderhead, and Girolami FX Briol, J Cockayne, O Teymur Bayesian Analysis 11 (4), 1285-1293, 2016 | 3 | 2016 |
| GaussED: A Probabilistic Programming Language for Sequential Experimental Design MA Fisher, O Teymur, C Oates arXiv preprint arXiv:2110.08072, 2021 | 2 | 2021 |
| A Bayesian nonparametric test for conditional independence O Teymur, S Filippi Foundations of Data Science 2 (2), 155-172, 2020 | 2 | 2020 |
| Topics in the probabilistic solution of ordinary differential equations O Teymur Imperial College London, 2018 | | 2018 |
| Contributed Discussion on Article by Chkrebtii, Campbell, Calderhead, and Girolami O Teymur Bayesian Analysis 11 (4), 1285-1293, 2016 | | 2016 |
