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Michael A Osborne
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Michael A Osborne (DPhil Oxon) is an expert in the development of machine intelligence in sympathy with societal needs.
His work on robust and scalable inference algorithms in Machine Learning has been successfully applied in diverse and challenging contexts, from aiding the detection of planets in distant solar systems to enabling self-driving cars to determine when their maps may have changed due to roadworks. Dr Osborne also has deep interests in the broader societal consequences of machine learning and robotics, and has analysed how intelligent algorithms might soon substitute for human workers.
His work on robust and scalable inference algorithms in Machine Learning has been successfully applied in diverse and challenging contexts, from aiding the detection of planets in distant solar systems to enabling self-driving cars to determine when their maps may have changed due to roadworks. Dr Osborne also has deep interests in the broader societal consequences of machine learning and robotics, and has analysed how intelligent algorithms might soon substitute for human workers.
Papers148 papers
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ICLR 2021, (2021)
NIPS 2020, (2020)
Moon H., Lennon D. T., Kirkpatrick J., van Esbroeck N. M.,Camenzind L. C., Yu Liuqi, Vigneau F.,Zumbühl D. M.,Briggs G. A. D.,Osborne M. A,Sejdinovic D.,Laird E. A.
Nature communications, no. 1 (2020): 4161
Supratik Paul, Konstantinos I. Chatzilygeroudis,Kamil Ciosek,Jean-Baptiste Mouret,Michael A. Osborne,Shimon Whiteson
Journal of Machine Learning Research, no. 151 (2020): 1-31
Journal of Machine Learning Research, no. 149 (2020): 1-26
ICML, pp.8276-8285, (2020)
IEEE Transactions on Sustainable Energy, pp.1-1, (2020)
ICML, pp.7317-7326, (2020)
NIPS 2020, (2020)
V. Nguyen, S. B. Orbell, D. T. Lennon, H. Moon, F. Vigneau,L. C. Camenzind,L. Yu,D. M. Zumbühl,G. A. D. Briggs,M. A. Osborne,D. Sejdinovic,N. Ares
AISTATS, (2020): 1352-1362
national conference on artificial intelligence, (2020)
arXiv: Machine Learning, (2019)
JMIR RESEARCH PROTOCOLS, no. 4 (2019)
Chris J Oates, Mark Girolami,Michael A Osborne, Dino Sejdinovic, Fred J Hickernell, R Jagadeeswaran, Michael L Stein, Ying Hung, François-Xavier Briol, Marc Scott, Dan Cervone, Miguel A Hernán
Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)], no. 1 (2019)
Journal of Geophysical Research: Oceans, no. 4 (2019): 2697-2715
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