Chris. J. Oates

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Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
François-Xavier BriolAssociate Professor 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
Alessandro BarpUniversity of CambridgeVerified email at cam.ac.uk
Wilson Ye ChenThe University of SydneyVerified email at sydney.edu.au
Dino SejdinovicProfessor, University of AdelaideVerified email at adelaide.edu.au
Ilse C. F. IpsenProfessor of Mathematics, North Carolina State UniversityVerified email at ncsu.edu
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Jackson GorhamData ScientistVerified email at whisper.ai
Joe GrayBiomedical Engineering, Oregon Health and Science UniversityVerified email at ohsu.edu
James KorkolaAssociate Professor, Oregon Health & Science UniversityVerified email at ohsu.edu
Gordon MillsOregon Health & Science UniversityVerified email at ohsu.edu
Steven NiedererKing's College LondonVerified email at kcl.ac.uk
Leah SouthQueensland University of TechnologyVerified email at qut.edu.au
J.Q. SmithProfessor of Statistics University of WarwickVerified email at warwick.ac.uk
Marina RiabizKing's College LondonVerified email at kcl.ac.uk
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr

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	232	2017
Probabilistic integration: a role in statistical computation? FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic	201*	2019
Bayesian probabilistic numerical methods J Cockayne, CJ Oates, TJ Sullivan, M Girolami SIAM review 61 (4), 756-789, 2019	158	2019
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	100	2018
Network Inference and Biological Dynamics CJ Oates, S Mukherjee Arxiv preprint arXiv:1112.1047, 2011	97	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	87	2015
A modern retrospective on probabilistic numerics CJ Oates, TJ Sullivan Statistics and computing 29 (6), 1335-1351, 2019	72	2019
Convergence rates for a class of estimators based on Stein’s method CJ Oates, J Cockayne, FX Briol, M Girolami	63	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	61*	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	59	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	55	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	54	2019
Stein’s method meets computational statistics: A review of some recent developments A Anastasiou, A Barp, FX Briol, B Ebner, RE Gaunt, F Ghaderinezhad, ... Statistical Science 38 (1), 120-139, 2023	49	2023
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	48	2022
Optimal thinning of MCMC output M Riabiz, WY Chen, J Cockayne, P Swietach, SA Niederer, L Mackey, ... Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022	44	2022
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	44	2016
Exact estimation of multiple directed acyclic graphs CJ Oates, JQ Smith, S Mukherjee, J Cussens Statistics and Computing 26, 797-811, 2016	44	2016
A Riemann–Stein kernel method A Barp, CJ Oates, E Porcu, M Girolami Bernoulli 28 (4), 2181-2208, 2022	43*	2022
A Bayesian conjugate gradient method (with discussion) J Cockayne, CJ Oates, ICF Ipsen, M Girolami	42*	2019
A Bayes-Sard cubature method T Karvonen, CJ Oates, S Sarkka Advances in Neural Information Processing Systems 31, 2018	42	2018

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