François-Xavier Briol
François-Xavier Briol
Lecturer in Statistical Science, UCL
Dirección de correo verificada de turing.ac.uk - Página principal
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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
157*2019
Frank-Wolfe Bayesian quadrature: Probabilistic integration with theoretical guarantees
FX Briol, CJ Oates, M Girolami, MA Osborne
Advanced in Neural Information Processing Systems, 1162-1170, 2015
772015
Stein points
WY Chen, L Mackey, J Gorham, FX Briol, CJ Oates
Proceedings of the 35th International Conference on Machine Learning, 844-853, 2018
702018
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
54*2019
Minimum Stein discrepancy estimators
A Barp, FX Briol, AB Duncan, M Girolami, L Mackey
Advances in Neural Information Processing Systems, 12964-12976, 2019
392019
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
332019
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
332018
Bayesian quadrature for multiple related integrals
X Xi, FX Briol, M Girolami
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
322018
Statistical inference for generative models with maximum mean discrepancy
FX Briol, A Barp, AB Duncan, M Girolami
arXiv preprint arXiv:1906.05944, 2019
242019
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
192017
Convergence guarantees for Gaussian process means with misspecified likelihoods and smoothness
G Wynne, FX Briol, M Girolami
Journal of Machine Learning Research 22 (123), 1-40, 2021
15*2021
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
152017
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
Stein's method meets 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
82021
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
62020
The ridgelet prior: A covariance function approach to prior specification for Bayesian neural networks
T Matsubara, CJ Oates, FX Briol
Journal of Machine Learning Research 22 (157), 1-57, 2021
52021
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
IEEE Transactions on Antennas and Propagation, 2020
42020
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
4*2016
Robust generalised Bayesian inference for intractable likelihoods
T Matsubara, J Knoblauch, FX Briol, C Oates
arXiv preprint arXiv:2104.07359, 2021
22021
A general method for calibrating stochastic radio channel models with kernels
A Bharti, FX Briol, T Pedersen
IEEE Transactions on Antennas and Propagation, 2021
12021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20