Michael Pearce
Michael Pearce
Senior Researcher, Belfast
Verified email at - Homepage
Cited by
Cited by
Scalable global optimization via local Bayesian optimization
D Eriksson, M Pearce, J Gardner, RD Turner, M Poloczek
Advances in neural information processing systems 32, 2019
Continuous multi-task bayesian optimisation with correlation
M Pearce, J Branke
European Journal of Operational Research 270 (3), 1074-1085, 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, 1-9, 2018
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
Bayesian simulation optimization with input uncertainty
M Pearce, J Branke
Winter Simulation Conference, 2268 - 2278, 2017
Scalable gaussian process variational autoencoders
M Jazbec, M Ashman, V Fortuin, M Pearce, S Mandt, G Rätsch
International Conference on Artificial Intelligence and Statistics, 3511-3519, 2021
Sparse Gaussian process variational autoencoders
M Ashman, J So, W Tebbutt, V Fortuin, M Pearce, RE Turner
arXiv preprint arXiv:2010.10177, 2020
Bayesian optimization allowing for common random numbers
MAL Pearce, M Poloczek, J Branke
Operations Research 70 (6), 3457-3472, 2022
The gaussian process prior vae for interpretable latent dynamics from pixels
M Pearce
Symposium on advances in approximate bayesian inference, 1-12, 2020
Efficient expected improvement estimation for continuous multiple ranking and selection
M Pearce, J Branke
2017 winter simulation conference (wsc), 2161-2172, 2017
Bayesian optimisation vs. input uncertainty reduction
J Ungredda, M Pearce, J Branke
ACM Transactions on Modeling and Computer Simulation (TOMACS) 32 (3), 1-26, 2022
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, 1-9, 2018
Practical bayesian optimization of objectives with conditioning variables
M Pearce, J Klaise, M Groves
arXiv preprint arXiv:2002.09996, 2020
Factorized Gaussian process variational autoencoders
M Jazbec, M Pearce, V Fortuin
arXiv preprint arXiv:2011.07255, 2020
Bayesian optimization allowing for common random numbers
M Pearce, M Poloczek, J Branke
arXiv preprint arXiv:1910.09259, 2019
Comparing interpretable inference models for videos of physical motion
M Pearce, S Chiappa, U Paquet
1st symposium on advances in approximate bayesian inference, 2018
On parallelizing multi-task bayesian optimization
M Groves, M Pearce, J Branke
2018 Winter Simulation Conference (WSC), 1993-2002, 2018
Efficient information collection on portfolios
M Pearce, J Branke
University of Warwick, 2017
Multi-objective path planning for environmental monitoring using an autonomous surface vehicle
F Peralta, M Pearce, M Poloczek, DG Reina, S Toral, J Branke
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
Bayesian simulation optimization with common random numbers
M Pearce, M Poloczek, J Branke
2019 Winter Simulation Conference (WSC), 3492-3503, 2019
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