Chris. J. Oates
Chris. J. Oates
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Cited by
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
Journal of the Royal Statistical Society. Series B (Statistical Methodology …, 2017
Probabilistic Integration
FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic
Statistical Science 34 (1), 1-22, 2019
Bayesian probabilistic numerical methods
J Cockayne, CJ Oates, TJ Sullivan, M Girolami
SIAM review 61 (4), 756-789, 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
Stein points
WY Chen, L Mackey, J Gorham, FX Briol, C Oates
International Conference on Machine Learning, 844-853, 2018
Network Inference and Biological Dynamics
CJ Oates, S Mukherjee
Arxiv preprint arXiv:1112.1047, 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
A modern retrospective on probabilistic numerics
CJ Oates, TJ Sullivan
Statistics and computing 29 (6), 1335-1351, 2019
Convergence rates for a class of estimators based on Stein’s method
CJ Oates, J Cockayne, FX Briol, M Girolami
Causal network inference using biochemical kinetics
CJ Oates, F Dondelinger, N Bayani, J Korkola, JW Gray, S Mukherjee
Bioinformatics 30 (17), i468-i474, 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
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
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
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
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
Exact estimation of multiple directed acyclic graphs
CJ Oates, JQ Smith, S Mukherjee, J Cussens
Statistics and Computing 26, 797-811, 2016
A Riemann–Stein kernel method
A Barp, CJ Oates, E Porcu, M Girolami
Bernoulli 28 (4), 2181-2208, 2022
A Bayes-Sard cubature method
T Karvonen, CJ Oates, S Sarkka
Advances in Neural Information Processing Systems 31, 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
A Bayesian conjugate gradient method (with discussion)
J Cockayne, CJ Oates, ICF Ipsen, M Girolami
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