# Publications

This page contains all my publications; for more details, see my Google Scholar profile.

## Preprints

, Barp, A., Duncan, A. B., Girolami, M. (2019).*Briol, F-X.**Statistical inference for generative models with maximum mean discrepancy*. arXiv:1906.05944. ()*Preprint*

## Published Papers

Barp, A.,

, Duncan, A. B., Girolami, M., Mackey, L. (2019).*Briol, F-X.**Minimum Stein discrepancy estimators*. arXiv:1906.08283. To appear in Neural Information Processing Systems. () (*Preprint*)*Talk/Video*Chen, W. Y., Barp, A.,

, Gorham, J., Girolami, M., Mackey, L., Oates, C. J. (2019).*Briol, F-X.**Stein point Markov chain Monte Carlo*. International Conference on Machine Learning, PMLR 97:1011-1021. () (*Conference*)*Preprint*, Oates, C. J., Girolami, M., Osborne, M. A. & Sejdinovic, D. (2019).*Briol, F-X.**Probabilistic integration: a role in statistical computation?*Statistical Science, Vol 34, Number 1, pp1-22. () (*Journal*) (*Preprint*)*Supplement*- This paper accepted with discussion and rejoinder. There are three discussion pieces by (i) Fred Hickernel and R. Jagadeeswaran (Journal) (Preprint), (ii) Art Owen (Journal) (Preprint), and (iii) Michael Stein and Ying Hung (Journal).
- This paper was awarded a Student Paper Award from the section on Bayesian Statistical Science of the American Statistical Association in 2016.
- This paper was discussed on several blogs, including by Prof. Andrew Gelman and Prof. Christian Robert.

Oates, C. J., Cockayne, J.,

& Girolami, M. (2019).*Briol, F-X.**Convergence rates for a class of estimators based on Stein’s identity*. Bernoulli, Vol. 25, No. 2, 1141-1159. () (*Journal*)*Preprint*- Xi, X.,
& Girolami, M. (2018).*Briol, F-X.**Bayesian quadrature for multiple related integrals*. International Conference on Machine Learning, PMLR 80:5369-5378. () (*Conference*)*Preprint*- This paper was accepted for a long talk (top 8% of submitted papers).

Chen, W. Y., Mackey, L., Gorham, J.

& Oates, C. J. (2018).*Briol, F-X.**Stein points*. International Conference on Machine Learning, PMLR 80:843-852. () (*Conference*) (*Preprint*)*code*Barp, A.,

, Kennedy, A. D. & Girolami, M. (2018).*Briol, F-X.**Geometry and dynamics for Markov chain Monte Carlo*. Annual Review of Statistics and Its Applications, Vol. 5:451-471. () (*Journal*)*Preprint*Oates, C. J., Niederer, S., Lee, A.,

& Girolami, M. (2017).*Briol, F-X.**Probabilistic models for integration error in the assessment of functional cardiac models*. Advances in Neural Information Processing Systems (NeurIPS), pages 109-117. () (*Conference*)*Preprint*, Oates, C. J., Cockayne, J., Chen, W. Y. & Girolami, M. (2017).*Briol, F-X.**On the sampling problem for kernel quadrature*. Proceedings of the 34th International Conference on Machine Learning, PMLR 70:586-595. () (*Conference*)*Preprint*, Oates, C. J., Girolami, M. & Osborne, M. A. (2015).*Briol, F-X.**Frank-Wolfe Bayesian Quadrature: probabilistic integration with theoretical guarantees*. Advances In Neural Information Processing Systems (NIPS), pages 1162-1170. () (*Preprint*)*Conference*- This paper was accepted with a spotlight presentation (top 4.5% of submitted papers).
- This paper was discussed in the blog of Ingmar Schuster.

- Barp, A., Barp, E. G.,
& Ueltschi, D. (2015).*Briol, F-X.**A numerical study of the 3D random interchange and random loop models*. Journal of Physics A: Mathematical and Theoretical, 48(34). () (*Journal*)*Preprint*

## Discussions and Opinion Pieces

, Diaz De la O, F. A., Hristov, P. O. (2019).*Briol, F-X.**Contributed Discussion of “A Bayesian Conjugate Gradient Method”*. To appear in Bayesian Analysis. arXiv:1908.02964. ()*Preprint*, Oates, C. J., Girolami, M., Osborne, M. A. & Sejdinovic, D. (2019).*Briol, F-X.**Rejoinder for “Probabilistic integration: a role in statistical computation?”*Statistical Science, Vol 34, Number 1, pp38-42. () (*Journal*)*Preprint*& Girolami, M. (2018)*Briol, F-X.**Bayesian numerical methods as a case study for statistical data science*, Statistical Data Science (Chapter 6): pp. 99-110. ()*Book*, Cockayne, J. & Teymur, O. (2016).*Briol, F-X.**Contributed discussion on article by Chkrebtii, Campbell, Calderhead, and Girolami*. Bayesian Analysis, 11(4), 1285-1293. () (*Journal*)*Preprint*

## Dissertations

(2019).*Briol, F-X.**Statistical computation with kernels*. PhD thesis, Department of Statistics, University of Warwick. ()*PDF*(2014).*Briol, F-X.**Inference for Hawkes Processes*. Masters thesis, Department of Statistics, University of Warwick.