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Michael Pearce
Michael Pearce
Senior Researcher, Belfast
Verified email at warwick.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1522019
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
252018
Continuous multi-task bayesian optimisation with correlation
M Pearce, J Branke
European Journal of Operational Research 270 (3), 1074-1085, 2018
252018
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
212018
Bayesian simulation optimization with input uncertainty
M Pearce, J Branke
Winter Simulation Conference, 2268 - 2278, 2017
192017
Efficient expected improvement estimation for continuous multiple ranking and selection
M Pearce, J Branke
2017 winter simulation conference (wsc), 2161-2172, 2017
122017
Sparse Gaussian process variational autoencoders
M Ashman, J So, W Tebbutt, V Fortuin, M Pearce, RE Turner
arXiv preprint arXiv:2010.10177, 2020
112020
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
112018
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
102021
The gaussian process prior vae for interpretable latent dynamics from pixels
M Pearce
Symposium on Advances in Approximate Bayesian Inference, 1-12, 2020
102020
Bayesian optimization allowing for common random numbers
MAL Pearce, M Poloczek, J Branke
Operations Research, 2022
62022
Factorized Gaussian process variational autoencoders
M Jazbec, M Pearce, V Fortuin
arXiv preprint arXiv:2011.07255, 2020
52020
On parallelizing multi-task bayesian optimization
M Groves, M Pearce, J Branke
2018 Winter Simulation Conference (WSC), 1993-2002, 2018
52018
Comparing interpretable inference models for videos of physical motion
M Pearce, S Chiappa, U Paquet
1st Symposium on Advances in Approximate Bayesian Inference, 2018
42018
Efficient information collection on portfolios
M Pearce, J Branke
Warwick Research Archive Portal, 2017
32017
Bayesian optimisation vs. input uncertainty reduction
J Ungredda, M Pearce, J Branke
ACM Transactions on Modeling and Computer Simulation (TOMACS), 2006
32006
Practical Bayesian Optimization of Objectives with Conditioning Variables
M Pearce, J Klaise, M Groves
arXiv preprint arXiv:2002.09996, 2020
22020
Bayesian simulation optimization with common random numbers
M Pearce, M Poloczek, J Branke
2019 Winter Simulation Conference (WSC), 3492-3503, 2019
12019
Multi-Objective Path Planning for Environmental Monitoring using an Autonomous Surface Vehicle
F Peralta, M Pearce, M Poloczek, DG Reina, S Toral, J Branke
2022
Resource optimization with simultaneous trust region modeling
DM Eriksson, MAL Pearce, J Gardner, RD Turner, MU Poloczek
US Patent App. 17/010,725, 2021
2021
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