| Efficient and scalable batch Bayesian optimization using K-means M Groves, EO Pyzer-Knapp arXiv preprint arXiv:1806.01159, 2018 | 20 | 2018 |
| Top-κ selection with pairwise comparisons M Groves, J Branke European Journal of Operational Research 274 (2), 615-626, 2019 | 11 | 2019 |
| Practical bayesian optimization of objectives with conditioning variables M Pearce, J Klaise, M Groves arXiv preprint arXiv:2002.09996, 2020 | 9 | 2020 |
| Evolving control rules for a dual-constrained job scheduling scenario J Branke, MJ Groves, T Hildebrandt 2016 Winter Simulation Conference (WSC), 2568-2579, 2016 | 7 | 2016 |
| On parallelizing multi-task bayesian optimization M Groves, M Pearce, J Branke 2018 Winter Simulation Conference (WSC), 1993-2002, 2018 | 6 | 2018 |
| Efficient pairwise information collection for subset selection MJ Groves University of Warwick, 2020 | 4 | 2020 |
| Sequential sampling for noisy optimisation with CMA-ES M Groves, J Branke Proceedings of the Genetic and Evolutionary Computation Conference, 1023-1030, 2018 | 3 | 2018 |
| Exploiting Transitivity for Top-k Selection with Score-Based Dueling Bandits M Groves, J Branke arXiv preprint arXiv:2012.15637, 2020 | | 2020 |
| ConBO: Conditional Bayesian Optimization. M Pearce, J Klaise, MJ Groves CoRR, 2020 | | 2020 |
