E-LIB Suche - Ergebnisse für: Briol, François-Xavier

1

Robust and Conjugate Gaussian Process Regression:

Altamirano, Matias ; Briol, François-Xavier ; Knoblauch, Jeremias
http://arxiv.org/abs/2311.00463. , 2023

2

Multilevel Bayesian quadrature:

Li, Kaiyu ; Giles, Daniel ; Karvonen, Toni..
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics. , 2023

Link: http://hdl.handle.net/10..

3

Bayesian Numerical Integration with Neural Networks:

Ott, Katharina ; Tiemann, Michael ; Hennig, Philipp.
http://arxiv.org/abs/2305.13248. , 2023

Link: http://arxiv.org/abs/230..

4

Stein's Method Meets Computational Statistics: A Review of ..:

Anastasiou, Andreas ; Barp, Alessandro ; Briol, François-Xavier...
info:eu-repo/semantics/altIdentifier/wos/000991879600008. , 2023

Link: https://publikationen.bi..

5

Data-driven modelling of turbine wake interactions and flow..:

Kirby, Andrew ; Briol, François-Xavier ; Dunstan, Thomas D.
http://arxiv.org/abs/2301.01699. , 2023

Link: http://arxiv.org/abs/230..

6

Meta-learning Control Variates: Variance Reduction with Lim..:

Sun, Zhuo ; Oates, Chris J ; Briol, François-Xavier
http://arxiv.org/abs/2303.04756. , 2023

Link: http://arxiv.org/abs/230..

7

Stein's method meets computational statistics: A review of ..:

Anastasiou, Andreas ; Barp, Alessandro ; Briol, François-Xavier...
https://discovery.ucl.ac.uk/id/eprint/10158259/1/2105.03481v2.pdf. , 2023

Link: https://discovery.ucl.ac..

8

Optimally-Weighted Estimators of the Maximum Mean Discrepan..:

Bharti, Ayush ; Naslidnyk, Masha ; Key, Oscar..
http://arxiv.org/abs/2301.11674. , 2023

Link: http://arxiv.org/abs/230..

9

Meta-learning Control Variates: Variance Reduction with Lim..:

Sun, Zhua ; Oates, Chris J ; Briol, François-Xavier
https://discovery.ucl.ac.uk/id/eprint/10177283/1/sun23a.pdf. , 2023

Link: https://discovery.ucl.ac..

10

Robust and Scalable Bayesian Online Changepoint Detection:

Altamirano, Matias ; Briol, François-Xavier ; Knoblauch, Jeremias
http://arxiv.org/abs/2302.04759. , 2023

Link: http://arxiv.org/abs/230..

11

Generalised Bayesian Inference for Discrete Intractable Lik..:

Matsubara, Takuo ; Knoblauch, Jeremias ; Briol, François-Xavier.
http://arxiv.org/abs/2206.08420. , 2022

Link: http://arxiv.org/abs/220..

12

Robust Bayesian Inference for Simulator-based Models via th..:

Dellaporta, Charita ; Knoblauch, Jeremias ; Damoulas, Theodoros.
https://discovery.ucl.ac.uk/id/eprint/10143633/1/2202.04744v1.pdf. , 2022

Link: https://discovery.ucl.ac..

13

Generalised Bayesian Inference for Discrete Intractable Lik..:

Matsubara, Takuo ; Knoblauch, Jeremias ; Briol, François-Xavier.
https://discovery.ucl.ac.uk/id/eprint/10158243/1/2206.08420v1.pdf. , 2022

Link: https://discovery.ucl.ac..

14

Towards Healing the Blindness of Score Matching:

Zhang, Mingtian ; Key, Oscar ; Hayes, Peter...
https://discovery.ucl.ac.uk/id/eprint/10158234/1/2209.07396v2.pdf. , 2022

Link: https://discovery.ucl.ac..

15

Multilevel Bayesian Quadrature:

Li, Kaiyu ; Giles, Daniel ; Karvonen, Toni..
https://discovery.ucl.ac.uk/id/eprint/10158239/1/2210.08329v1.pdf. , 2022

Link: https://discovery.ucl.ac..