Robert Salomone

According to our database, Robert Salomone authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas.

Robert Salomone, Xuejun Yu, David J. Nott, Robert Kohn

J. Comput. Graph. Stat., 2024

Fast and scalable off-target assessment for CRISPR guide RNAs using partial matches.

Carl Schmitz, Jacob Bradford, Robert Salomone, Dimitri Perrin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

A PAC-Bayesian Perspective on the Interpolating Information Criterion.

Liam Hodgkinson, Christopher van der Heide, Robert Salomone, Fred Roosta, Michael W. Mahoney

CoRR, 2023

Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis.

Conor Hassan, Robert Salomone, Kerrie L. Mengersen

CoRR, 2023

The Interpolating Information Criterion for Overparameterized Models.

Liam Hodgkinson, Christopher van der Heide, Robert Salomone, Fred Roosta, Michael W. Mahoney

CoRR, 2023

Graph Neural Network-Based Anomaly Detection for River Network Systems.

Katie Buchhorn, Edgar Santos-Fernández, Kerrie L. Mengersen, Robert Salomone

CoRR, 2023

Federated Variational Inference Methods for Structured Latent Variable Models.

Conor Hassan, Robert Salomone, Kerrie L. Mengersen

CoRR, 2023

Transport Reversible Jump Proposals.

Laurence Davies, Robert Salomone, Matthew Sutton, Chris Drovandi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Continuously Tempered PDMP samplers.

Matthew Sutton, Robert Salomone, Augustin Chevallier, Paul Fearnhead

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Implicit Langevin Algorithms for Sampling From Log-concave Densities.

Liam Hodgkinson, Robert Salomone, Fred Roosta

J. Mach. Learn. Res., 2021

2020

Spectral Subsampling MCMC for Stationary Time Series.

Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Monte Carlo estimation of the density of the sum of dependent random variables.

Patrick J. Laub, Robert Salomone, Zdravko I. Botev

Math. Comput. Simul., 2019

Fast and accurate computation of the distribution of sums of dependent log-normals.

Zdravko I. Botev, Robert Salomone, Daniel MacKinlay

Ann. Oper. Res., 2019