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 ucl.ac.uk
T. J. SullivanUniversity of WarwickVerified email at warwick.ac.uk
Toni KarvonenAssociate Professor, LUT UniversityVerified email at lut.fi
Alessandro BarpUniversity College London, The Alan Turing InstituteVerified email at ucl.ac.uk
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
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Ilse C. F. IpsenProfessor of Mathematics, North Carolina State UniversityVerified email at ncsu.edu
Jackson GorhamData ScientistVerified email at whisper.ai
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Joe GrayBiomedical Engineering, Oregon Health and Science UniversityVerified email at ohsu.edu
Steven NiedererImperial College LondonVerified email at imperial.ac.uk
Leah SouthQueensland University of TechnologyVerified email at qut.edu.au
Emilio PorcuProfessor of Statistics, KU Abu Dhabi, & Research Fellow, ADIA LabVerified email at ku.ac.ae
James KorkolaAssociate Professor, Oregon Health & Science UniversityVerified email at ohsu.edu
Onur TeymurUniversity of KentVerified email at kent.ac.uk
Marina RiabizKing's College LondonVerified email at kcl.ac.uk
Simo SärkkäProfessor, Aalto UniversityVerified email at aalto.fi
J.Q. SmithProfessor of Statistics University of WarwickVerified email at warwick.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	252	2017
Probabilistic integration FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic Statistical Science 34 (1), 1-22, 2019	214*	2019
Bayesian probabilistic numerical methods J Cockayne, CJ Oates, TJ Sullivan, M Girolami SIAM review 61 (4), 756-789, 2019	191	2019
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	107	2018
Network Inference and Biological Dynamics CJ Oates, S Mukherjee Arxiv preprint arXiv:1112.1047, 2011	101	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	89	2015
A modern retrospective on probabilistic numerics CJ Oates, TJ Sullivan Statistics and computing 29 (6), 1335-1351, 2019	82	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	77	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	76	2022
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	71*	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	66	2019
Causal network inference using biochemical kinetics CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee Bioinformatics 30 (17), i468-i474, 2014	65	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	59	2016
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	55	2022
Convergence rates for a class of estimators based on Stein’s method CJ Oates, J Cockayne, FX Briol, M Girolami	54	2019
A Bayes-Sard cubature method T Karvonen, CJ Oates, S Sarkka Advances in Neural Information Processing Systems 31, 2018	51*	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), 12145, 2016	49	2016
A Riemann–Stein kernel method A Barp, CJ Oates, E Porcu, M Girolami Bernoulli 28 (4), 2181-2208, 2022	47*	2022
A Bayesian conjugate gradient method (with discussion) J Cockayne, CJ Oates, ICF Ipsen, M Girolami	47*	2019
Exact estimation of multiple directed acyclic graphs CJ Oates, JQ Smith, S Mukherjee, J Cussens Statistics and Computing 26, 797-811, 2016	46	2016

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