François-Xavier Briol
François-Xavier Briol
Lecturer in Statistical Science, University College London
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
117*2019
Frank-Wolfe Bayesian quadrature: Probabilistic integration with theoretical guarantees
FX Briol, C Oates, M Girolami, MA Osborne
Advances in Neural Information Processing Systems, 1162-1170, 2015
572015
Stein Points
WY Chen, L Mackey, J Gorham, FX Briol, CJ Oates
Proceedings of the 35th International Conference on Machine Learning, 844-853, 2018
492018
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
40*2019
Bayesian Quadrature for Multiple Related Integrals
X Xi, FX Briol, M Girolami
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
252018
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
232018
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
162017
Minimum stein discrepancy estimators
A Barp, FX Briol, A Duncan, M Girolami, L Mackey
Advances in Neural Information Processing Systems, 12964-12976, 2019
132019
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
132017
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
122019
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
Statistical inference for generative models with maximum mean discrepancy
FX Briol, A Barp, AB Duncan, M Girolami
arXiv preprint arXiv:1906.05944, 2019
102019
Convergence guarantees for Gaussian process approximations under several observation models
G Wynne, FX Briol, M Girolami
arXiv preprint arXiv:2001.10818, 2020
52020
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
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
Bayesian numerical methods as a case study for statistical data science
FX Briol, M Girolami
Statistical Data Science, 99-110, 2018
12018
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
2020
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
2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models
H Zhu, X Liu, R Kang, Z Shen, S Flaxman, FX Briol
arXiv preprint arXiv:2006.05371, 2020
2020
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
2020
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