E-LIB Suche - Ergebnisse für: Prangle, Dennis

1

Distilling Importance Sampling for Likelihood Free Inferenc:

Prangle, Dennis ; Viscardi, Cecilia
Journal of Computational and Graphical Statistics. 32 (2023) 4 - p. 1461-1471 , 2023

Link: https://doi.org/10.1080/..

2

Preprocessing Matters: Automated Pipeline Selection for Fai..:

, In: Modeling Decisions for Artificial Intelligence; Lecture Notes in Computer Science,

González-Zelaya, Vladimiro ; Salas, Julián ; Prangle, Dennis. - p. 202-213 , 2023

Link: https://doi.org/10.1007/..

3

Flexible Tails for Normalising Flows, with Application to t..:

Hickling, Tennessee ; Prangle, Dennis
http://arxiv.org/abs/2311.00580. , 2023

Link: http://arxiv.org/abs/231..

4

Distilling Importance Sampling for Likelihood Free Inferenc:

Prangle, Dennis ; Viscardi, Cecilia
Prangle , D & Viscardi , C 2023 , ' Distilling Importance Sampling for Likelihood Free Inference ' , Journal of Computational and Graphical Statistics , vol. 32 , no. 4 , pp. 1461-1471 . https://doi.org/10.1080/10618600.2023.2175688. , 2023

Link: https://hdl.handle.net/1..

5

Emulating computer experiments of transport infrastructure ..:

Svalova, Aleksandra ; Helm, Peter ; Prangle, Dennis...
Data-Centric Engineering. 3 (2022) - p. , 2022

Link: https://doi.org/10.1017/..

6

Emulating computer experiments of transport infrastructure ..:

Aleksandra Svalova ; Peter Helm ; Dennis Prangle...
https://www.cambridge.org/core/product/identifier/S2632673622000144/type/journal_article. , 2022

Link: https://doi.org/10.1017/..

7

Bayesian experimental design without posterior calculations..:

Prangle, Dennis ; Harbisher, Sophie ; Gillespie, Colin
Prangle , D , Harbisher , S & Gillespie , C 2022 , ' Bayesian experimental design without posterior calculations: an adversarial approach ' , Bayesian Analysis .. , 2022

Link: https://hdl.handle.net/1..

8

Emulating computer experiments of transport infrastructure ..:

Svalova, Aleksandra ; Helm, Peter ; Prangle, Dennis...
Data-Centric Engineering. 2 (2021) - p. , 2021

Link: https://doi.org/10.1017/..

9

Measure Transport with Kernel Stein Discrepancy:

Fisher, Matthew A ; Nolan, Tui ; Graham, Matthew M..
https://discovery.ucl.ac.uk/id/eprint/10166611/1/fisher21a.pdf. , 2021

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

10

Emulating computer experiments of transport infrastructure ..:

Prangle, Dennis ; Svalova, Aleksandra ; Helm, Peter...
Prangle , D , Svalova , A , Helm , P , Rouainia , M , Glendinning , S & Wilkinson , D 2021 , ' Emulating computer experiments of transport infrastructure slope stability using Gaussian processes and Bayesian inference ' , Data-Centric Engineering , vol. 2 , e12 . https://doi.org/10.1017/dce.2021.14. , 2021

Link: https://hdl.handle.net/1..

11

Emulating computer experiments of transport infrastructure ..:

Aleksandra Svalova ; Peter Helm ; Dennis Prangle...
https://www.cambridge.org/core/product/identifier/S2632673621000149/type/journal_article. , 2021

Link: https://doi.org/10.1017/..

12

Bonsai-Net: One-Shot Neural Architecture Search via Differe..:

Geada, Rob ; Prangle, Dennis ; McGough, Andrew Stephen
http://arxiv.org/abs/2006.09264. , 2020

Link: http://arxiv.org/abs/200..

13

Measure Transport with Kernel Stein Discrepancy:

Fisher, Matthew A ; Nolan, Tui ; Graham, Matthew M..
http://arxiv.org/abs/2010.11779. , 2020

Link: http://arxiv.org/abs/201..

14

Optimality Criteria for Probabilistic Numerical Methods:

Oates, Chris. J ; Cockayne, Jon ; Prangle, Dennis..
http://arxiv.org/abs/1901.04326. , 2019

Link: http://arxiv.org/abs/190..

15

Black-Box Inference for Non-Linear Latent Force Models:

Ward, Wil O. C ; Ryder, Tom ; Prangle, Dennis.
http://arxiv.org/abs/1906.09199. , 2019

Link: http://arxiv.org/abs/190..