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
Alessandro BarpUniversity of CambridgeVerified email at cam.ac.uk
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Toni KarvonenPostdoctoral Researcher, University of HelsinkiVerified email at helsinki.fi
Jackson GorhamData ScientistVerified email at whisper.ai
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Wilson Ye ChenThe University of SydneyVerified email at sydney.edu.au
Dino SejdinovicProfessor, University of AdelaideVerified email at adelaide.edu.au
Joe GrayBiomedical Engineering, Oregon Health and Science UniversityVerified email at ohsu.edu
Ilse C. F. IpsenProfessor of Mathematics, North Carolina State UniversityVerified email at ncsu.edu
James KorkolaAssociate Professor, Oregon Health & Science UniversityVerified email at ohsu.edu
Gordon MillsOregon Health & Science UniversityVerified email at ohsu.edu
Leah SouthQueensland University of TechnologyVerified email at qut.edu.au
J.Q. SmithProfessor of Statistics University of WarwickVerified email at warwick.ac.uk
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
Marina RiabizKing's College LondonVerified email at kcl.ac.uk
Onur TeymurUniversity of KentVerified email at kent.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	222	2017
Probabilistic Integration FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic Statistical Science 34 (1), 1-22, 2019	185*	2019
Bayesian probabilistic numerical methods J Cockayne, CJ Oates, TJ Sullivan, M Girolami SIAM review 61 (4), 756-789, 2019	143	2019
A Bayesian information criterion for singular models M Drton, M Plummer, G Claeskens, J Rousseau, CP Robert, T Imai, ... Journal of the Royal Statistical Society. Series B (Statistical Methodology …, 2017	115	2017
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	99	2018
Network Inference and Biological Dynamics CJ Oates, S Mukherjee Arxiv preprint arXiv:1112.1047, 2011	90	2011
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	88	2015
A modern retrospective on probabilistic numerics CJ Oates, TJ Sullivan Statistics and computing 29 (6), 1335-1351, 2019	64	2019
Convergence rates for a class of estimators based on Stein’s method CJ Oates, J Cockayne, FX Briol, M Girolami	63	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	57	2016
Causal network inference using biochemical kinetics CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee Bioinformatics 30 (17), i468-i474, 2014	57	2014
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	55	2019
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	53*	2016
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments A Anastasiou, A Barp, FX Briol, B Ebner, RE Gaunt, F Ghaderinezhad, ... arXiv preprint arXiv:2105.03481, 2021	42	2021
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), 12145, 2016	42	2016
Exact estimation of multiple directed acyclic graphs CJ Oates, JQ Smith, S Mukherjee, J Cussens Statistics and Computing 26, 797-811, 2016	42	2016
A Riemann–Stein kernel method A Barp, CJ Oates, E Porcu, M Girolami Bernoulli 28 (4), 2181-2208, 2022	40*	2022
A Bayes-Sard cubature method T Karvonen, CJ Oates, S Sarkka Advances in Neural Information Processing Systems 31, 2018	38	2018
Robust generalised Bayesian inference for intractable likelihoods T Matsubara, J Knoblauch, FX Briol, CJ Oates Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022	36	2022
A Bayesian conjugate gradient method (with discussion) J Cockayne, CJ Oates, ICF Ipsen, M Girolami	36*	2019

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