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Robert Salomone
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2020 – today
- 2023
- [c3]Laurence Davies, Robert Salomone, Matthew Sutton, Chris Drovandi:
Transport Reversible Jump Proposals. AISTATS 2023: 6839-6852 - [i6]Conor Hassan, Robert Salomone, Kerrie L. Mengersen:
Federated Variational Inference Methods for Structured Latent Variable Models. CoRR abs/2302.03314 (2023) - [i5]Katie Buchhorn, Edgar Santos-Fernández, Kerrie L. Mengersen, Robert Salomone:
Graph Neural Network-Based Anomaly Detection for River Network Systems. CoRR abs/2304.09367 (2023) - [i4]Liam Hodgkinson, Christopher van der Heide, Robert Salomone, Fred Roosta, Michael W. Mahoney:
The Interpolating Information Criterion for Overparameterized Models. CoRR abs/2307.07785 (2023) - [i3]Conor Hassan, Robert Salomone, Kerrie L. Mengersen:
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis. CoRR abs/2307.15424 (2023) - [i2]Liam Hodgkinson, Christopher van der Heide, Robert Salomone, Fred Roosta, Michael W. Mahoney:
A PAC-Bayesian Perspective on the Interpolating Information Criterion. CoRR abs/2311.07013 (2023) - 2022
- [c2]Matthew Sutton, Robert Salomone, Augustin Chevallier, Paul Fearnhead:
Continuously Tempered PDMP samplers. NeurIPS 2022 - 2021
- [j3]Liam Hodgkinson, Robert Salomone, Fred Roosta:
Implicit Langevin Algorithms for Sampling From Log-concave Densities. J. Mach. Learn. Res. 22: 136:1-136:30 (2021) - 2020
- [c1]Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran:
Spectral Subsampling MCMC for Stationary Time Series. ICML 2020: 8449-8458
2010 – 2019
- 2019
- [j2]Zdravko I. Botev, Robert Salomone
, Daniel MacKinlay
:
Fast and accurate computation of the distribution of sums of dependent log-normals. Ann. Oper. Res. 280(1-2): 19-46 (2019) - [j1]Patrick J. Laub
, Robert Salomone
, Zdravko I. Botev
:
Monte Carlo estimation of the density of the sum of dependent random variables. Math. Comput. Simul. 161: 23-31 (2019) - [i1]Liam Hodgkinson, Robert Salomone, Fred (Farbod) Roosta:
Implicit Langevin Algorithms for Sampling From Log-concave Densities. CoRR abs/1903.12322 (2019)
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