François-Xavier Briol
François-Xavier Briol
Lecturer in Statistical Science, UCL
Verified email at turing.ac.uk - Homepage
Title
Cited by
Cited by
Year
Probabilistic integration: A role in statistical computation? (with discussion)
FX Briol, CJ Oates, M Girolami, M Osborne, D Sejdinovic
Statistical Science 34 (1), 1-22, 2019
136*2019
Frank-Wolfe Bayesian quadrature: Probabilistic integration with theoretical guarantees
FX Briol, CJ Oates, M Girolami, MA Osborne
arXiv preprint arXiv:1506.02681, 2015
662015
Stein Points
WY Chen, L Mackey, J Gorham, FX Briol, CJ Oates
Proceedings of the 35th International Conference on Machine Learning, 844-853, 2018
542018
Convergence rates for a class of estimators based on Stein’s method
CJ Oates, J Cockayne, FX Briol, M Girolami
Bernoulli 25 (2), 1141-1159, 2019
42*2019
Bayesian Quadrature for Multiple Related Integrals
X Xi, FX Briol, M Girolami
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
282018
Geometry and Dynamics for Markov Chain Monte Carlo
A Barp, FX Briol, AD Kennedy, M Girolami
Annual Review of Statistics and Its Application 5 (1), 2018
272018
Minimum stein discrepancy estimators
A Barp, FX Briol, AB Duncan, M Girolami, L Mackey
arXiv preprint arXiv:1906.08283, 2019
242019
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, PMLR 97, 1011-1021, 2019
172019
On the Sampling Problem for Kernel Quadrature
FX Briol, CJ Oates, J Cockayne, WY Chen, M Girolami
Proceedings of the 34th International Conference on Machine Learning 70, 586 …, 2017
172017
Statistical inference for generative models with maximum mean discrepancy
FX Briol, A Barp, AB Duncan, M Girolami
arXiv preprint arXiv:1906.05944, 2019
162019
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
CJ Oates, S Niederer, A Lee, FX Briol, M Girolami
Advances in Neural Information Processing Systems, 2017
142017
A numerical study of the 3D random interchange and random loop models
A Barp, EG Barp, FX Briol, D Ueltschi
Journal of Physics A: Mathematical and Theoretical 48 (34), 345002, 2015
122015
Convergence guarantees for Gaussian process means with misspecified likelihoods and smoothness
G Wynne, FX Briol, M Girolami
arXiv preprint arXiv:2001.10818, 2020
9*2020
Comments on" Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & Girolami
FX Briol, J Cockayne, O Teymur
Bayesian Analysis 11 (4), 1285-1293, 2016
3*2016
The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks
T Matsubara, CJ Oates, FX Briol
arXiv preprint arXiv:2010.08488, 2020
22020
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization
S Si, C Oates, AB Duncan, L Carin, FX Briol
arXiv preprint arXiv:2006.07487, 2020
22020
Joint modeling of received power, mean delay, and delay spread for wideband radio channels
A Bharti, R Adeogun, X Cai, W Fan, FX Briol, L Clavier, T Pedersen
arXiv preprint arXiv:2005.06808, 2020
22020
Rejoinder: Probabilistic integration: A role in statistical computation?
FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic
Statistical Science 34 (1), 38-42, 2019
12019
Robust Generalised Bayesian Inference for Intractable Likelihoods
T Matsubara, J Knoblauch, FX Briol, C Oates
arXiv preprint arXiv:2104.07359, 2021
2021
Calibration of Stochastic Radio Channel Models with Kernels
A Bharti, FX Briol, T Pedersen
arXiv preprint arXiv:2012.09612, 2020
2020
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