Matthew Sutton

According to our database, Matthew Sutton authored at least 7 papers between 2018 and 2025.

Collaborative distances:

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

2025

The Polynomial Stein Discrepancy for Assessing Moment Convergence.

Narayan Srinivasan, Matthew Sutton, Christopher C. Drovandi, Leah F. South

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference.

Conor Hassan, Matthew Sutton, Antonietta Mira, Kerrie L. Mengersen

CoRR, 2024

2023

Concave-Convex PDMP-based Sampling.

Matthew Sutton, Paul Fearnhead

J. Comput. Graph. Stat., 2023

Debiasing Piecewise Deterministic Markov Process samplers using couplings.

Adrien Corenflos, Matthew Sutton, Nicolas Chopin

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

2018

Sampling molecular conformations and dynamics in a multi-user virtual reality framework.

Michael B. O'Connor, Helen M. Deeks, Edward Dawn, Oussama Metatla, Anne Roudaut, Matthew Sutton, Becca Rose Glowacki, Rebecca Sage, Philip Tew, Mark Wonnacott, Phil Bates, Adrian J. Mulholland, David R. Glowacki

CoRR, 2018