Chris. J. Oates

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Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
François-Xavier BriolLecturer in Statistical Science, UCLVerified email at turing.ac.uk
T. J. SullivanUniversity of WarwickVerified email at warwick.ac.uk
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Toni KarvonenPostdoctoral Researcher, University of HelsinkiVerified email at helsinki.fi
Dino SejdinovicUniversity of OxfordVerified email at stats.ox.ac.uk
Wilson Ye ChenThe University of SydneyVerified email at sydney.edu.au
Alessandro BarpUniversity of CambridgeVerified email at imperial.ac.uk
Joe GrayBiomedical Engineering, Oregon Health and Science UniversityVerified email at ohsu.edu
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr
Jackson GorhamData ScientistVerified email at whisper.ai
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
Gordon MillsOregon Health & Science UniversityVerified email at ohsu.edu
Ilse C. F. IpsenProfessor of Mathematics, North Carolina State UniversityVerified email at ncsu.edu
Leah South (Price)Queensland University of TechnologyVerified email at qut.edu.au
J.Q. SmithProfessor of Statistics University of WarwickVerified email at warwick.ac.uk
Theodore PapamarkouThe University of ManchesterVerified email at manchester.ac.uk
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie
James CussensSenior Lecturer in Computer Science, University of BristolVerified email at bristol.ac.uk

Chris. J. Oates

Newcastle University

Verified email at ncl.ac.uk - Homepage

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Control functionals for Monte Carlo integration CJ Oates, M Girolami, N Chopin Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017	179	2017
Probabilistic integration: A role in statistical computation? FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic Statistical Science 34 (1), 1-22, 2019	155*	2019
Bayesian probabilistic numerical methods J Cockayne, CJ Oates, TJ Sullivan, M Girolami SIAM Review 61 (4), 756-789, 2019	107	2019
Network Inference and Biological Dynamics CJ Oates, S Mukherjee Arxiv preprint arXiv:1112.1047, 2011	80	2011
Frank-Wolfe Bayesian quadrature: Probabilistic integration with theoretical guarantees FX Briol, CJ Oates, M Girolami, MA Osborne arXiv preprint arXiv:1506.02681, 2015	76	2015
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	68	2018
Causal network inference using biochemical kinetics CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee Bioinformatics 30 (17), i468-i474, 2014	52	2014
The controlled thermodynamic integral for Bayesian model evidence evaluation CJ Oates, T Papamarkou, M Girolami Journal of the American Statistical Association 111 (514), 634-645, 2016	50*	2016
Convergence rates for a class of estimators based on Stein’s identity CJ Oates, J Cockayne, FX Briol, M Girolami arXiv preprint arXiv:1603.03220 6, 2016	50*	2016
A Bayes-Sard cubature method T Karvonen, CJ Oates, S Särkkä arXiv preprint arXiv:1804.03016, 2018	40*	2018
RNA editing generates cellular subsets with diverse sequence within populations D Harjanto, T Papamarkou, CJ Oates, V Rayon-Estrada, FN Papavasiliou, ... Nature communications 7 (1), 1-14, 2016	38	2016
Exact estimation of multiple directed acyclic graphs CJ Oates, JQ Smith, S Mukherjee, J Cussens Statistics and Computing 26 (4), 797-811, 2016	38	2016
Probabilistic numerical methods for partial differential equations and Bayesian inverse problems J Cockayne, C Oates, T Sullivan, M Girolami arXiv preprint arXiv:1605.07811, 2016	34*	2016
A modern retrospective on probabilistic numerics CJ Oates, TJ Sullivan Statistics and Computing 29 (6), 1335-1351, 2019	32	2019
Stein point markov chain monte carlo WY Chen, A Barp, FX Briol, J Gorham, M Girolami, L Mackey, C Oates International Conference on Machine Learning, 1011-1021, 2019	32	2019
Bayesian probabilistic numerical methods in time-dependent state estimation for industrial hydrocyclone equipment CJ Oates, J Cockayne, RG Aykroyd, M Girolami Journal of the American Statistical Association 114 (528), 1518-1531, 2019	27*	2019
Probabilistic meshless methods for partial differential equations and Bayesian inverse problems J Cockayne, C Oates, TJ Sullivan, M Girolami	27	2016
Investigation of the widely applicable Bayesian information criterion N Friel, JP McKeone, CJ Oates, AN Pettitt Statistics and Computing 27 (3), 833-844, 2017	26	2017
Control functionals for quasi-Monte Carlo integration C Oates, M Girolami Artificial Intelligence and Statistics, 56-65, 2016	26*	2016
A Bayesian conjugate gradient method (with discussion) J Cockayne, CJ Oates, ICF Ipsen, M Girolami Bayesian Analysis 14 (3), 937-1012, 2019	24*	2019

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