| Scalable global optimization via local bayesian optimization D Eriksson, M Pearce, JR Gardner, R Turner, M Poloczek arXiv preprint arXiv:1910.01739, 2019 | 37 | 2019 |
| Approaches to sample size calculation for clinical trials in rare diseases F Miller, S Zohar, N Stallard, J Madan, M Posch, SW Hee, M Pearce, ... Pharmaceutical statistics 17 (3), 214-230, 2018 | 17 | 2018 |
| Recent advances in methodology for clinical trials in small populations: the InSPiRe project T Friede, M Posch, S Zohar, C Alberti, N Benda, E Comets, S Day, ... Orphanet journal of rare diseases 13 (1), 1-9, 2018 | 16 | 2018 |
| Continuous multi-task bayesian optimisation with correlation M Pearce, J Branke European Journal of Operational Research 270 (3), 1074-1085, 2018 | 15 | 2018 |
| Bayesian simulation optimization with input uncertainty M Pearce, J Branke Winter Simulation Conference, 2268 - 2278, 2017 | 12 | 2017 |
| Value of information methods to design a clinical trial in a small population to optimise a health economic utility function M Pearce, SW Hee, J Madan, M Posch, S Day, F Miller, S Zohar, ... BMC medical research methodology 18 (1), 1-9, 2018 | 7 | 2018 |
| Efficient expected improvement estimation for continuous multiple ranking and selection M Pearce, J Branke 2017 Winter Simulation Conference (WSC), 2161-2172, 2017 | 6 | 2017 |
| The gaussian process prior vae for interpretable latent dynamics from pixels M Pearce Symposium on Advances in Approximate Bayesian Inference, 1-12, 2020 | 4 | 2020 |
| Comparing interpretable inference models for videos of physical motion M Pearce, S Chiappa, U Paquet 1st Symposium on Advances in Approximate Bayesian Inference, 2018 | 4 | 2018 |
| On parallelizing multi-task bayesian optimization M Groves, M Pearce, J Branke 2018 Winter Simulation Conference (WSC), 1993-2002, 2018 | 3 | 2018 |
| Scalable gaussian process variational autoencoders M Jazbec, V Fortuin, M Pearce, S Mandt, G Rätsch arXiv preprint arXiv:2010.13472, 2020 | 2 | 2020 |
| Sparse Gaussian Process Variational Autoencoders M Ashman, J So, W Tebbutt, V Fortuin, M Pearce, RE Turner arXiv preprint arXiv:2010.10177, 2020 | 2 | 2020 |
| Bayesian optimization allowing for common random numbers M Pearce, M Poloczek, J Branke arXiv preprint arXiv:1910.09259, 2019 | 2 | 2019 |
| Factorized Gaussian Process Variational Autoencoders M Jazbec, M Pearce, V Fortuin arXiv preprint arXiv:2011.07255, 2020 | 1 | 2020 |
| Bayesian Optimisation vs. Input Uncertainty Reduction J Ungredda, M Pearce, J Branke arXiv preprint arXiv:2006.00643, 2020 | 1 | 2020 |
| Efficient Information Collection on Portfolios M Pearce, J Branke Warwick Research Archive Portal, 2017 | 1 | 2017 |
| ConBO: Conditional Bayesian Optimization M Pearce, J Klaise, M Groves arXiv preprint arXiv:2002.09996, 2020 | | 2020 |
| Bayesian simulation optimization with common random numbers M Pearce, M Poloczek, J Branke 2019 Winter Simulation Conference (WSC), 3492-3503, 2019 | | 2019 |
| Acquisition functions for simultaneous Bayesian optimisation of multiple problems M Pearce 2017 Winter Simulation Conference (WSC), 4618-4619, 2017 | | 2017 |
| A value of information approach to optimal design of confirmatory clinical trials N Stallard, M Pearce, SW Hee, J Madan, M Posch, S Day, F Miller, ... TRIALS 18, 2017 | | 2017 |
Juergen BrankeProfessor of Operational Research and Systems, Warwick Business SchoolVerified email at wbs.ac.uk
