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Michael A Osborne
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The future of employment: How susceptible are jobs to computerisation?
CB Frey, MA Osborne
Technological forecasting and social change 114, 254-280, 2017
110832017
Gaussian processes for time-series modelling
S Roberts, M Osborne, M Ebden, S Reece, N Gibson, S Aigrain
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2013
5352013
The future of skills: Employment in 2030
H Bakhshi, JM Downing, MA Osborne, P Schneider
Pearson, 2017
4362017
Gaussian process regression for forecasting battery state of health
RR Richardson, MA Osborne, DA Howey
Journal of Power Sources 357, 209-219, 2017
3392017
Gaussian processes for global optimization
MA Osborne, R Garnett, SJ Roberts
3rd International Conference on Learning and Intelligent Optimization (LION3 …, 2009
3022009
A Gaussian process framework for modelling instrumental systematics: application to transmission spectroscopy
NP Gibson, S Aigrain, S Roberts, TM Evans, M Osborne, F Pont
Monthly notices of the royal astronomical society 419 (3), 2683-2694, 2012
2872012
A Gaussian process framework for modelling stellar activity signals in radial velocity data
V Rajpaul, S Aigrain, MA Osborne, S Reece, S Roberts
Monthly Notices of the Royal Astronomical Society 452 (3), 2269-2291, 2015
2582015
Technology at work: The future of innovation and employment
CB Frey, M Osborne
Citi GPS, 2015
2432015
Probabilistic numerics and uncertainty in computations
P Hennig, MA Osborne, M Girolami
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
2382015
Towards real-time information processing of sensor network data using computationally efficient multi-output Gaussian processes
MA Osborne, SJ Roberts, A Rogers, SD Ramchurn, NR Jennings
Proceedings of the 7th international conference on Information processing in …, 2008
2132008
Technology at work v2. 0: The future is not what it used to be
CB Frey, MA Osborne
Citigroup, 2016
1792016
Bayesian optimization for sensor set selection
R Garnett, MA Osborne, SJ Roberts
Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010
1722010
Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries
RR Richardson, CR Birkl, MA Osborne, DA Howey
IEEE Transactions on Industrial Informatics 15 (1), 127-138, 2018
1672018
Probabilistic integration: a role in statistical computation?
FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic
Statistical Science 34 (1), 1-22, 2019
160*2019
Bayesian Gaussian Processes for Sequential Prediction, Optimisation and Quadrature
M Osborne
PhD thesis, University of Oxford, 2010
1552010
On the limitations of representing functions on sets
E Wagstaff, F Fuchs, M Engelcke, I Posner, MA Osborne
International Conference on Machine Learning, 6487-6494, 2019
1222019
Variational inference for Gaussian process modulated Poisson processes
C Lloyd, T Gunter, M Osborne, S Roberts
International Conference on Machine Learning, 1814-1822, 2015
1142015
Active learning of model evidence using Bayesian quadrature
M Osborne, R Garnett, Z Ghahramani, DK Duvenaud, SJ Roberts, ...
Advances in neural information processing systems 25, 2012
1092012
GLASSES: Relieving the myopia of Bayesian optimisation
J González, M Osborne, N Lawrence
Artificial Intelligence and Statistics, 790-799, 2016
1022016
Battery health prediction under generalized conditions using a Gaussian process transition model
RR Richardson, MA Osborne, DA Howey
Journal of Energy Storage 23, 320-328, 2019
942019
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