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Robert Salomone
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Year
Unbiased and consistent nested sampling via sequential Monte Carlo
R Salomone, LF South, AM Johansen, C Drovandi, DP Kroese
arXiv preprint arXiv:1805.03924, 2018
372018
The reproducing Stein kernel approach for post-hoc corrected sampling
L Hodgkinson, R Salomone, F Roosta
arXiv preprint arXiv:2001.09266, 2020
342020
Spectral subsampling MCMC for stationary time series
R Salomone, M Quiroz, R Kohn, M Villani, MN Tran
International Conference on Machine Learning, 8449-8458, 2020
192020
Fast and accurate computation of the distribution of sums of dependent log-normals
ZI Botev, R Salomone, D Mackinlay
Annals of Operations Research 280 (1), 19-46, 2019
19*2019
Implicit Langevin algorithms for sampling from log-concave densities
L Hodgkinson, R Salomone, F Roosta
Journal of Machine Learning Research 22 (136), 1-30, 2021
142021
Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation
X Wang, AL Jenner, R Salomone, DJ Warne, C Drovandi
Journal of Mathematical Biology 88 (3), 28, 2024
13*2024
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
JJ Bon, A Bretherton, K Buchhorn, S Cramb, C Drovandi, C Hassan, ...
Philosophical Transactions of the Royal Society A 381 (2247), 20220156, 2023
132023
The interpolating information criterion for overparameterized models
L Hodgkinson, C van der Heide, R Salomone, F Roosta, MW Mahoney
arXiv preprint arXiv:2307.07785, 2023
92023
Monte Carlo estimation of the density of the sum of dependent random variables
PJ Laub, R Salomone, ZI Botev
Mathematics and Computers in Simulation 161, 23-31, 2019
92019
Estimating the number of vertices in convex polytopes
R Salomone, R Vaisman, DP Kroese
Proceedings of the International Conference on Operations Research and …, 2016
82016
Spectral subsampling MCMC for stationary multivariate time series with applications to vector ARTFIMA processes
M Villani, M Quiroz, R Kohn, R Salomone
Econometrics and Statistics, 2022
7*2022
Graph neural network-based anomaly detection for river network systems
B Katie, E Santos-Fernandez, M Kerrie, R Salomone
F1000Research 12, 2024
5*2024
Federated Variational Inference Methods for Structured Latent Variable Models
C Hassan, R Salomone, K Mengersen
arXiv preprint arXiv:2302.03314, 2023
42023
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis
C Hassan, R Salomone, K Mengersen
arXiv preprint arXiv:2307.15424, 2023
32023
Structured variational approximations with skew normal decomposable graphical models and implicit copulas
R Salomone, X Yu, DJ Nott, R Kohn
Journal of Computational and Graphical Statistics, 1-10, 2024
2*2024
Continuously-Tempered PDMP Samplers
M Sutton, R Salomone, A Chevallier, P Fearnhead
Advances in Neural Information Processing Systems 35, 28293--28304, 2022
22022
Leveraging uncertainty quantification to optimise CRISPR guide RNA selection
C Schmitz, J Bradford, R Salomone, D Perrin
bioRxiv, 2024.02. 01.578527, 2024
2024
Fast and scalable off-target assessment for CRISPR guide RNAs using partial matches
C Schmitz, J Bradford, R Salomone, D Perrin
bioRxiv, 2024.02. 01.578509, 2024
2024
A PAC-Bayesian Perspective on the Interpolating Information Criterion
L Hodgkinson, C van der Heide, R Salomone, F Roosta, MW Mahoney
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023
2023
Transport Reversible Jump Proposals
L Davies, R Salomone, M Sutton, C Drovandi
Proceedings of The 26th International Conference on Artificial Intelligence …, 2023
2023
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Articles 1–20