| Escaping local minima with local derivative-free methods: a numerical investigation C Cartis, L Roberts, O Sheridan-Methven Optimization 71 (8), 2343-2373, 2021 | 67* | 2021 |
| Analysis of nested multilevel Monte Carlo using approximate normal random variables M Giles, O Sheridan-Methven SIAM/ASA Journal on Uncertainty Quantification 10 (1), 200-226, 2022 | 7* | 2022 |
| Nested multilevel Monte Carlo methods and a modified Euler-Maruyama scheme utilising approximate Gaussian random variables suitable for vectorised hardware and low-precisions, 2020 O Sheridan-Methven DPhil thesis, supervisor Prof. Mike Giles, Mathematical Institute …, 2020 | 4 | 2020 |
| Approximating inverse cumulative distribution functions to produce approximate random variables M Giles, O Sheridan-Methven ACM Transactions on Mathematical Software 49 (3), 1-29, 2023 | 2 | 2023 |
| Approximating inverse cumulative distribution functions, 2020 O Sheridan-Methven URL https://github. com/oliversheridanmethven …, 0 | 2 | |
| Getting started with approximate random variables: a brief guide for practitioners, 2020 O Sheridan-Methven URL https://github. com/oliversheridanmethven/approximate_random_variables …, 0 | 2 | |
| Rounding error using low precision approximate random variables M Giles, O Sheridan-Methven SIAM Journal on Scientific Computing, 2024 | | 2024 |
| Multilevel Monte Carlo methods using approximate distributions M Giles, O Sheridan-Methven | | 2019 |
| Body Weight Prediction of Turkeys: From Walk to Mass A Mey, B Raftari, E Zúñiga, J Fernández, J Hageman, M Stefanov, ... | | |
Lindon RobertsSchool of Mathematics and Statistics, University of SydneyVerified email at sydney.edu.au
