受强制性开放获取政策约束的文章 - François-Xavier Briol了解详情
可在其他位置公开访问的文章：29 篇
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
强制性开放获取政策： US National Science Foundation, Australian Research Council, UK Engineering …
Stein points
WY Chen, L Mackey, J Gorham, FX Briol, CJ Oates
International Conference on Machine Learning, PMLR, 844-853, 2018
强制性开放获取政策： US National Science Foundation, Australian Research Council, UK Engineering …
Minimum Stein discrepancy estimators
A Barp, FX Briol, AB Duncan, M Girolami, L Mackey
Advances in Neural Information Processing Systems, 12964-12976, 2019
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, European Commission
Robust generalised Bayesian inference for intractable likelihoods
T Matsubara, J Knoblauch, FX Briol, C Oates
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
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, 2022
强制性开放获取政策： US National Science Foundation, National Fund for Scientific Research …
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
强制性开放获取政策： Australian Research Council, UK Engineering and Physical Sciences Research …
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
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
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
强制性开放获取政策： Australian Research Council, UK Engineering and Physical Sciences Research …
Bayesian quadrature for multiple related integrals
X Xi, FX Briol, M Girolami
International Conference on Machine Learning, PMLR 80, 5369-5378, 2018
强制性开放获取政策： US National Science Foundation, UK Engineering and Physical Sciences …
Robust Bayesian inference for simulator-based models via the MMD posterior bootstrap
C Dellaporta, J Knoblauch, T Damoulas, FX Briol
International Conference on Artificial Intelligence and Statistics, PMLR 151 …, 2022
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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
强制性开放获取政策： US National Science Foundation, US Department of Defense, UK Engineering and …
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
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
On the sampling problem for kernel quadrature
FX Briol, CJ Oates, J Cockayne, WY Chen, M Girolami
International Conference on Machine Learning, PMLR 70, 586--595, 2017
强制性开放获取政策： Australian Research Council, UK Engineering and Physical Sciences Research …
Scalable control variates for Monte Carlo methods via stochastic optimization
S Si, C Oates, AB Duncan, L Carin, FX Briol
International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2020
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
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
强制性开放获取政策： US National Science Foundation, UK Engineering and Physical Sciences …
Generalized Bayesian inference for discrete intractable likelihood
T Matsubara, J Knoblauch, FX Briol, CJ Oates
Journal of the American Statistical Association, 1-11, 2023
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Robust and scalable Bayesian online changepoint detection
M Altamirano, FX Briol, J Knoblauch
International Conference on Machine Learning, PMLR 202, 642-663, 2023
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Data-driven modelling of turbine wake interactions and flow resistance in large wind farms
A Kirby, FX Briol, TD Dunstan, T Nishino
Wind Energy 26 (9), 968-984, 2023
强制性开放获取政策： UK Natural Environment Research Council
Optimally-weighted estimators of the maximum mean discrepancy for likelihood-free inference
A Bharti, M Naslidnyk, O Key, S Kaski, FX Briol
International Conference on Machine Learning, PMLR 202, 2289-2312, 2023
强制性开放获取政策： Academy of Finland, UK Engineering and Physical Sciences Research Council …
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