Cockayne, Jon

7 publications

AISTATS 2025 Calibrated Computation-Aware Gaussian Processes Disha Hegde, Mohamed Adil, Jon Cockayne

AISTATS 2025 Computation-Aware Kalman Filtering and Smoothing Marvin Pförtner, Jonathan Wenger, Jon Cockayne, Philipp Hennig

NeurIPS 2025 SMRS: Advocating a Unified Reporting Standard for Surrogate Models in the Artificial Intelligence Era. Elizaveta Semenova, Siobhan Mackenzie Hall, Timothy James Hitge, Alisa Sheinkman, Jon Cockayne

TMLR 2023 A Probabilistic Taylor Expansion with Gaussian Processes Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä

JMLR 2022 Testing Whether a Learning Procedure Is Calibrated Jon Cockayne, Matthew M. Graham, Chris J. Oates, T. J. Sullivan, Onur Teymur

JMLR 2021 Probabilistic Iterative Methods for Linear Systems Jon Cockayne, Ilse C.F. Ipsen, Chris J. Oates, Tim W. Reid

ICML 2017 On the Sampling Problem for Kernel Quadrature François-Xavier Briol, Chris J. Oates, Jon Cockayne, Wilson Ye Chen, Mark Girolami