Matthew M. Graham

According to our database, Matthew M. Graham authored at least 8 papers between 2016 and 2025.

Collaborative distances:

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

2025

rmcmc: Robust Markov chain Monte Carlo methods in R.

Matthew M. Graham, Samuel Livingstone

J. Open Source Softw., December, 2025

2024

A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi.

Margherita Molaro, Sakshi Mohan, Bingling She, Martin Chalkley, Tim Colbourn, Joseph H. Collins, Emilia Connolly, Matthew M. Graham, Eva Janousková, Ines Li Lin, Gerald Manthalu, Emmanuel Mnjowe, Dominic Nkhoma, Pakwanja D. Twea, Andrew N. Phillips, Paul Revill, Asif U. Tamuri, Joseph Mfutso-Bengo, Tara D. Mangal, Timothy B. Hallett

PLoS Comput. Biol., 2024

2022

Testing Whether a Learning Procedure is Calibrated.

Jon Cockayne, Matthew M. Graham, Chris J. Oates, Timothy John Sullivan, Onur Teymur

J. Mach. Learn. Res., 2022

Numerical Schemes for Effective Calibration of Elliptic and Hypo-elliptic Diffusions.

Yuga Iguchi, Alexandros Beskos, Matthew M. Graham

CoRR, 2022

2021

Measure Transport with Kernel Stein Discrepancy.

Matthew Fisher, Tui Nolan, Matthew M. Graham, Dennis Prangle, Chris J. Oates

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2017

Continuously Tempered Hamiltonian Monte Carlo.

Matthew M. Graham, Amos J. Storkey

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Asymptotically exact inference in differentiable generative models.

Matthew M. Graham, Amos J. Storkey

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Pseudo-Marginal Slice Sampling.

Iain Murray, Matthew M. Graham

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016