Chris. J. Oates

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Mark GirolamiUniversity of CambridgePatvirtintas el. paštas cam.ac.uk
François-Xavier BriolAssociate Professor in Statistical Science, UCLPatvirtintas el. paštas ucl.ac.uk
T. J. SullivanUniversity of WarwickPatvirtintas el. paštas warwick.ac.uk
Toni KarvonenAssociate Professor, LUT UniversityPatvirtintas el. paštas lut.fi
Alessandro BarpUniversity College London, The Alan Turing InstitutePatvirtintas el. paštas ucl.ac.uk
Michael A OsborneProfessor of Machine Learning, University of OxfordPatvirtintas el. paštas robots.ox.ac.uk
Wilson Ye ChenThe University of SydneyPatvirtintas el. paštas sydney.edu.au
Lester MackeyMicrosoft ResearchPatvirtintas el. paštas microsoft.com
Ilse C. F. IpsenProfessor of Mathematics, North Carolina State UniversityPatvirtintas el. paštas ncsu.edu
Jackson GorhamData ScientistPatvirtintas el. paštas whisper.ai
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaidePatvirtintas el. paštas adelaide.edu.au
Joe GrayBiomedical Engineering, Oregon Health and Science UniversityPatvirtintas el. paštas ohsu.edu
Steven NiedererImperial College LondonPatvirtintas el. paštas imperial.ac.uk
Leah SouthQueensland University of TechnologyPatvirtintas el. paštas qut.edu.au
Emilio PorcuProfessor of Statistics, KU Abu Dhabi, & Research Fellow, ADIA LabPatvirtintas el. paštas ku.ac.ae
James KorkolaAssociate Professor, Oregon Health & Science UniversityPatvirtintas el. paštas ohsu.edu
Marina RiabizKing's College LondonPatvirtintas el. paštas kcl.ac.uk
Onur TeymurUniversity of KentPatvirtintas el. paštas kent.ac.uk
Simo SärkkäProfessor, Aalto UniversityPatvirtintas el. paštas aalto.fi
J.Q. SmithProfessor of Statistics University of WarwickPatvirtintas el. paštas warwick.ac.uk

Stebėti

Chris. J. Oates

Newcastle University

Patvirtintas el. paštas ncl.ac.uk - Pagrindinis puslapis

Statistics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Control functionals for Monte Carlo integration CJ Oates, M Girolami, N Chopin Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017	257	2017
Probabilistic integration FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic Statistical Science 34 (1), 1-22, 2019	216*	2019
Bayesian probabilistic numerical methods J Cockayne, CJ Oates, TJ Sullivan, M Girolami SIAM review 61 (4), 756-789, 2019	193	2019
Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	112	2018
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	102*	2016
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	91	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
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
A modern retrospective on probabilistic numerics CJ Oates, TJ Sullivan Statistics and computing 29 (6), 1335-1351, 2019	81	2019
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	67	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
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	60	2022
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
Convergence rates for a class of estimators based on Stein’s method CJ Oates, J Cockayne, FX Briol, M Girolami	54	2019
A Riemann–Stein kernel method A Barp, CJ Oates, E Porcu, M Girolami Bernoulli 28 (4), 2181-2208, 2022	53*	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	52	2016
A Bayes-Sard cubature method T Karvonen, CJ Oates, S Sarkka Advances in Neural Information Processing Systems 31, 2018	49	2018
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	47	2016

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