Robert Salomone

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Citations	129	124
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Fred RoostaUniversity of QueenslandVerified email at uq.edu.au
Liam HodgkinsonUniversity of MelbourneVerified email at unimelb.edu.au
Zdravko BotevUNSW SydneyVerified email at unsw.edu.au
robert kohnProfessor of Economics University of New South WalesVerified email at unsw.edu.au
Dirk P KroeseProfessor of Mathematics and Statistics, The University of QueenslandVerified email at maths.uq.edu.au
Leah SouthQueensland University of TechnologyVerified email at qut.edu.au
Matias QuirozUniversity of Technology SydneyVerified email at uts.edu.au
Mattias VillaniProfessor of Statistics, Stockholm UniversityVerified email at stat.su.se
Conor HassanPhD researcher at QUTVerified email at hdr.qut.edu.au
Katie BuchhornQueensland University of TechnologyVerified email at qut.edu.au
Minh-Ngoc TranAssociate Professor, University of SydneyVerified email at sydney.edu.au
Matt SuttonPostdoctoral Research FellowVerified email at qut.edu.au
Michael MahoneyProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
Chris van der HeideUniversity of MelbourneVerified email at unimelb.edu.au
Paul FearnheadProfessor of Statistics; Lancaster UniversityVerified email at lancs.ac.uk
Augustin ChevallierUniversité de StrasbourgVerified email at unistra.fr
David NottAssociate Professor of Statistics, National University of SingaporeVerified email at nus.edu.sg
Yu XuejunResearch Fellow, National University of SingaporeVerified email at nus.edu.sg
David WarneLecturer in Statistics, School of Mathematical Sciences, Queensland University of TechnologyVerified email at qut.edu.au

Robert Salomone

Queensland University of Technology

Verified email at qut.edu.au - Homepage

Monte Carlo Methods Probabilistic Machine Learning Computational Statistics


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Unbiased and consistent nested sampling via sequential Monte Carlo R Salomone, LF South, CC Drovandi, DP Kroese arXiv preprint arXiv:1805.03924, 2018	31	2018
The reproducing Stein kernel approach for post-hoc corrected sampling L Hodgkinson, R Salomone, F Roosta arXiv preprint arXiv:2001.09266, 2020	28	2020
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	17*	2019
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	13	2020
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	11	2021
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	9	2019
Estimating the number of vertices in convex polytopes R Salomone, R Vaisman, DP Kroese Proceedings of the International Conference on Operations Research and …, 2016	6	2016
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	5	2023
Federated Variational Inference Methods for Structured Latent Variable Models C Hassan, R Salomone, K Mengersen arXiv preprint arXiv:2302.03314, 2023	2	2023
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	2*	2022
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	1	2023
Graph Neural Network-Based Anomaly Detection for River Network Systems K Buchhorn, E Santos-Fernandez, K Mengersen, R Salomone arXiv preprint arXiv:2304.09367, 2023	1	2023
Structured variational approximations with skew normal decomposable graphical models R Salomone, X Yu, DJ Nott, R Kohn arXiv preprint arXiv:2302.03348, 2023	1	2023
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 bioRxiv, 2022.09. 13.507714, 2022	1	2022
Continuously-Tempered PDMP Samplers M Sutton, R Salomone, A Chevallier, P Fearnhead Advances in Neural Information Processing Systems 35, 28293--28304, 2022	1	2022
A PAC-Bayesian Perspective on the Interpolating Information Criterion L Hodgkinson, C van der Heide, R Salomone, F Roosta, MW Mahoney arXiv preprint arXiv:2311.07013, 2023		2023
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		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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