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Dennis Prangle
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2020 – today
- 2024
- [i7]Tennessee Hickling, Dennis Prangle:
Flexible Tails for Normalizing Flows. CoRR abs/2406.16971 (2024) - 2023
- [j6]Dennis Prangle, Cecilia Viscardi
:
Distilling Importance Sampling for Likelihood Free Inference. J. Comput. Graph. Stat. 32(4): 1461-1471 (2023) - [c6]Vladimiro González-Zelaya, Julián Salas, Dennis Prangle, Paolo Missier
Preprocessing Matters: Automated Pipeline Selection for Fair Classification. MDAI 2023: 202-213 - [i6]Tennessee Hickling, Dennis Prangle:
Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return Data. CoRR abs/2311.00580 (2023) - 2021
- [c5]Matthew Fisher, Tui Nolan, Matthew M. Graham, Dennis Prangle, Chris J. Oates:
Measure Transport with Kernel Stein Discrepancy. AISTATS 2021: 1054-1062 - [c4]Vladimiro González-Zelaya, Julián Salas, Dennis Prangle, Paolo Missier
Optimising Fairness Through Parametrised Data Sampling. EDBT 2021: 445-450 - [c3]Thomas Ryder, Dennis Prangle, Andrew Golightly, Isaac Matthews:
The neural moving average model for scalable variational inference of state space models. UAI 2021: 12-22 - 2020
- [j5]Dennis Prangle:
gk: An R Package for the g-and-k and Generalised g-and-h Distributions. R J. 12(1): 7 (2020) - [c2]Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez:
Black-Box Inference for Non-Linear Latent Force Models. AISTATS 2020: 3088-3098 - [i5]Rob Geada, Dennis Prangle, Andrew Stephen McGough:
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners. CoRR abs/2006.09264 (2020)
2010 – 2019
- 2019
- [i4]Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez
Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes. CoRR abs/1906.09199 (2019) - [i3]Tom Ryder, Andrew Golightly, Isaac Matthews
Scalable approximate inference for state space models with normalising flows. CoRR abs/1910.00879 (2019) - 2018
- [j4]G. S. Rodrigues, Dennis Prangle, Scott A. Sisson:
Recalibration: A post-processing method for approximate Bayesian computation. Comput. Stat. Data Anal. 126: 53-66 (2018) - [j3]Dennis Prangle, Richard G. Everitt, Theodore Kypraios
A rare event approach to high-dimensional approximate Bayesian computation. Stat. Comput. 28(4): 819-834 (2018) - [c1]Thomas Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle:
Black-Box Variational Inference for Stochastic Differential Equations. ICML 2018: 4420-4429 - [i2]Tom Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle:
Black-Box Autoregressive Density Estimation for State-Space Models. CoRR abs/1811.08337 (2018) - 2017
- [i1]Richard G. Everitt
Marginal sequential Monte Carlo for doubly intractable models. CoRR abs/1710.04382 (2017) - 2016
- [j2]Dennis Prangle:
Lazy ABC. Stat. Comput. 26(1-2): 171-185 (2016) - 2015
- [j1]Matthew A. Nunes, Dennis Prangle:
abctools: An R Package for Tuning Approximate Bayesian Computation Analyses. R J. 7(2): 189 (2015)
Coauthor Index
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