Anthony Stephenson

According to our database, Anthony Stephenson authored at least 5 papers between 2022 and 2026.

Collaborative distances:

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

2026

Scalable Gaussian process inference via neural feature maps.

Anthony Stephenson

CoRR, May, 2026

The Theory and Practice of Highly Scalable Gaussian Process Regression with Nearest Neighbours.

Robert Allison, Tomasz Maciazek, Anthony Stephenson

CoRR, April, 2026

Generator-based Graph Generation via Heat Diffusion.

Anthony Stephenson, Ian Gallagher, Christopher Nemeth

CoRR, February, 2026

2023

Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression.

Robert Allison, Anthony Stephenson, Samuel F, Edward O. Pyzer-Knapp

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Provably Reliable Large-Scale Sampling from Gaussian Processes.

Anthony Stephenson, Robert Allison, Edward Pyzer-Knapp

CoRR, 2022