Chris. J. Oates

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Mark GirolamiUniversity of CambridgeCorreu electrònic verificat a cam.ac.uk
François-Xavier BriolAssociate Professor in Statistical Science, UCLCorreu electrònic verificat a ucl.ac.uk
T. J. SullivanUniversity of WarwickCorreu electrònic verificat a warwick.ac.uk
Toni KarvonenAssociate Professor, LUT UniversityCorreu electrònic verificat a lut.fi
Alessandro BarpUniversity College London, The Alan Turing InstituteCorreu electrònic verificat a ucl.ac.uk
Michael A OsborneProfessor of Machine Learning, University of OxfordCorreu electrònic verificat a robots.ox.ac.uk
Wilson Ye ChenThe University of SydneyCorreu electrònic verificat a sydney.edu.au
Lester MackeyMicrosoft ResearchCorreu electrònic verificat a microsoft.com
Ilse C. F. IpsenProfessor of Mathematics, North Carolina State UniversityCorreu electrònic verificat a ncsu.edu
Jackson GorhamData ScientistCorreu electrònic verificat a whisper.ai
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideCorreu electrònic verificat a adelaide.edu.au
Joe GrayBiomedical Engineering, Oregon Health and Science UniversityCorreu electrònic verificat a ohsu.edu
Steven NiedererImperial College LondonCorreu electrònic verificat a imperial.ac.uk
Leah SouthQueensland University of TechnologyCorreu electrònic verificat a qut.edu.au
Emilio PorcuProfessor of Statistics, KU Abu Dhabi, & Research Fellow, ADIA LabCorreu electrònic verificat a ku.ac.ae
James KorkolaAssociate Professor, Oregon Health & Science UniversityCorreu electrònic verificat a ohsu.edu
Marina RiabizKing's College LondonCorreu electrònic verificat a kcl.ac.uk
Onur TeymurUniversity of KentCorreu electrònic verificat a kent.ac.uk
Simo SärkkäProfessor, Aalto UniversityCorreu electrònic verificat a aalto.fi
J.Q. SmithProfessor of Statistics University of WarwickCorreu electrònic verificat a warwick.ac.uk

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Chris. J. Oates

Newcastle University

Correu electrònic verificat a ncl.ac.uk - Pàgina d'inici

Statistics


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Control functionals for Monte Carlo integration CJ Oates, M Girolami, N Chopin Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017	261	2017
Probabilistic integration FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic Statistical Science 34 (1), 1-22, 2019	217*	2019
Bayesian probabilistic numerical methods J Cockayne, CJ Oates, TJ Sullivan, M Girolami SIAM review 61 (4), 756-789, 2019	195	2019
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	110	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
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	84	2022
A modern retrospective on probabilistic numerics CJ Oates, TJ Sullivan Statistics and computing 29 (6), 1335-1351, 2019	84	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	82	2023
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	73*	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	68	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	66	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	60	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	57	2022
Convergence rates for a class of estimators based on Stein’s method CJ Oates, J Cockayne, FX Briol, M Girolami	57	2019
A Riemann–Stein kernel method A Barp, CJ Oates, E Porcu, M Girolami Bernoulli 28 (4), 2181-2208, 2022	53*	2022
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	50	2016
A Bayesian conjugate gradient method (with discussion) J Cockayne, CJ Oates, ICF Ipsen, M Girolami	48*	2019
Regularized Zero-Variance Control Variates LF South, CJ Oates, A Mira, C Drovandi arXiv preprint arXiv:1811.05073, 2018	46*	2018

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