Matthew M. Graham

According to our database, Matthew M. Graham authored at least 6 papers between 2016 and 2022.

Collaborative distances:

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

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