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 Warwick and Alan Turing InstituteVerified 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
Alessandro BarpUniversity of CambridgeVerified email at imperial.ac.uk
Dino SejdinovicAssociate Professor, University of OxfordVerified email at stats.ox.ac.uk
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Wilson Ye ChenThe University of SydneyVerified email at sydney.edu.au
Jackson GorhamData ScientistVerified email at whisper.ai
Ilse C. F. IpsenProfessor of Mathematics, North Carolina State UniversityVerified email at ncsu.edu
Joe GrayBiomedical Engineering, Oregon Health and Science UniversityVerified email at ohsu.edu
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr
James KorkolaAssociate Professor, Oregon Health & Science UniversityVerified email at ohsu.edu
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
J.Q. SmithProfessor of Statistics University of WarwickVerified email at warwick.ac.uk
Gordon MillsOregon Health & Science UniversityVerified email at ohsu.edu
Leah South (Price)Queensland University of TechnologyVerified email at qut.edu.au
Onur TeymurUniversity of KentVerified email at kent.ac.uk
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie

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	191	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	160*	2019
Bayesian probabilistic numerical methods J Cockayne, CJ Oates, TJ Sullivan, M Girolami SIAM review 61 (4), 756-789, 2019	126	2019
Network Inference and Biological Dynamics CJ Oates, S Mukherjee Arxiv preprint arXiv:1112.1047, 2011	85	2011
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	78	2018
Frank-Wolfe Bayesian quadrature: Probabilistic integration with theoretical guarantees FX Briol, C Oates, M Girolami, MA Osborne Advances in Neural Information Processing Systems 28, 2015	76	2015
Causal network inference using biochemical kinetics CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee Bioinformatics 30 (17), i468-i474, 2014	54	2014
Convergence rates for a class of estimators based on Stein’s method CJ Oates, J Cockayne, FX Briol, M Girolami Bernoulli 25 (2), 1141-1159, 2019	52	2019
A modern retrospective on probabilistic numerics CJ Oates, TJ Sullivan Statistics and Computing 29 (6), 1335-1351, 2019	51	2019
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	48*	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	44*	2016
Exact estimation of multiple directed acyclic graphs CJ Oates, JQ Smith, S Mukherjee, J Cussens Statistics and Computing 26 (4), 797-811, 2016	42	2016
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	41	2016
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	40	2019
A Bayesian conjugate gradient method (with discussion) J Cockayne, CJ Oates, ICF Ipsen, M Girolami Bayesian Analysis 14 (3), 937-1012, 2019	31*	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	29*	2019
A Bayes-Sard cubature method T Karvonen, CJ Oates, S Sarkka Advances in Neural Information Processing Systems 31, 2018	29	2018
Investigation of the widely applicable Bayesian information criterion N Friel, JP McKeone, CJ Oates, AN Pettitt Statistics and Computing 27 (3), 833-844, 2017	29	2017
Probabilistic meshless methods for partial differential equations and Bayesian inverse problems J Cockayne, C Oates, TJ Sullivan, M Girolami	29	2016
A Riemann-Stein kernel method A Barp, C Oates, E Porcu, M Girolami arXiv preprint arXiv:1810.04946, 2018	28*	2018

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