Michael A Osborne
Michael A Osborne
Professor of Machine Learning, University of Oxford
Verified email at robots.ox.ac.uk - Homepage
Cited by
Cited by
The future of employment: How susceptible are jobs to computerisation?
CB Frey, MA Osborne
Technological forecasting and social change 114, 254-280, 2017
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
The future of skills: Employment in 2030
H Bakhshi, JM Downing, MA Osborne, P Schneider
Pearson, 2017
Gaussian processes for global optimization
MA Osborne, R Garnett, SJ Roberts
3rd International Conference on Learning and Intelligent Optimization (LION3 …, 2009
Gaussian process regression for forecasting battery state of health
RR Richardson, MA Osborne, DA Howey
Journal of Power Sources 357, 209-219, 2017
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
Technology at work: The future of innovation and employment
CB Frey, M Osborne
Citi GPS, 2015
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
Probabilistic numerics and uncertainty in computations
P Hennig, MA Osborne, M Girolami
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
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
Bayesian optimization for sensor set selection
R Garnett, MA Osborne, SJ Roberts
Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010
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 338, 2016
Probabilistic integration: A role in statistical computation?
FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic
Statistical Science 34 (1), 1-22, 2019
Bayesian Gaussian Processes for Sequential Prediction, Optimisation and Quadrature
M Osborne
PhD thesis, University of Oxford, 2010
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
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
Variational inference for Gaussian process modulated Poisson processes
C Lloyd, T Gunter, M Osborne, S Roberts
International Conference on Machine Learning, 1814-1822, 2015
GLASSES: Relieving the myopia of Bayesian optimisation
J González, M Osborne, N Lawrence
Artificial Intelligence and Statistics, 790-799, 2016
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
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
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