Michael A Osborne
TitleCited byYear
The future of employment: How susceptible are jobs to computerisation?
CB Frey, MA Osborne
Technological forecasting and social change 114, 254-280, 2017
49692017
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
2452013
Gaussian processes for global optimization
MA Osborne, R Garnett, SJ Roberts
3rd International Conference on Learning and Intelligent Optimization (LION3 …, 2009
2042009
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
1862012
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
1692008
Technology at work
CB Frey, M Osborne
The Future of Innovation and Employment. Citi GPS: Global Perspectives …, 2015
1472015
Probabilistic numerics and uncertainty in computations
P Hennig, MA Osborne, M Girolami
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
1172015
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
1142015
The future of skills: Employment in 2030
H Bakhshi, JM Downing, MA Osborne, P Schneider
Pearson, 2017
1122017
Bayesian optimization for sensor set selection
R Garnett, MA Osborne, SJ Roberts
Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010
1082010
Bayesian Gaussian Processes for Sequential Prediction, Optimisation and Quadrature
M Osborne
PhD thesis, University of Oxford, 2010
1002010
Probabilistic integration: A role in statistical computation?
FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic
Statistical Science 34 (1), 1-22, 2019
87*2019
Gaussian process regression for forecasting battery state of health
RR Richardson, MA Osborne, DA Howey
Journal of Power Sources 357, 209-219, 2017
742017
Technology at work v2. 0: The future is not what it used to be
CB Frey, M Osborne, C Holmes, E Rahbari, R Garlick, G Friedlander, ...
CityGroup and University of Oxford, 2016
742016
Active learning of model evidence using Bayesian quadrature
M Osborne, R Garnett, Z Ghahramani, DK Duvenaud, SJ Roberts, ...
Advances in neural information processing systems, 46-54, 2012
722012
Variational inference for Gaussian process modulated Poisson processes
C Lloyd, T Gunter, M Osborne, S Roberts
International Conference on Machine Learning, 1814-1822, 2015
612015
Real-Time Information Processing of Environmental Sensor Network Data
MA Osborne, SJ Roberts, A Rogers, NR Jennings
ACM Transactions on Sensor Networks 9 (1), 2012
60*2012
Sequential Bayesian prediction in the presence of changepoints and faults
R Garnett, MA Osborne, S Reece, A Rogers, SJ Roberts
The Computer Journal 53 (9), 1430, 2010
592010
Sampling for inference in probabilistic models with fast Bayesian quadrature
T Gunter, MA Osborne, R Garnett, P Hennig, SJ Roberts
Advances in neural information processing systems, 2789-2797, 2014
492014
GLASSES: Relieving the myopia of Bayesian optimisation
J González, M Osborne, ND Lawrence
Journal of Machine Learning Research, 2016
462016
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Articles 1–20