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Jon Cockayne

Randomised Postiterations for Calibrated BayesCG

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Apr 05, 2025
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Learning to Solve Related Linear Systems

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Mar 21, 2025
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Calibrated Computation-Aware Gaussian Processes

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Oct 11, 2024
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Computation-Aware Kalman Filtering and Smoothing

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May 14, 2024
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Bayesian Numerical Methods for Nonlinear Partial Differential Equations

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May 03, 2021
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A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations

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Feb 01, 2021
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Probabilistic Iterative Methods for Linear Systems

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Jan 11, 2021
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Probabilistic Gradients for Fast Calibration of Differential Equation Models

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Sep 03, 2020
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Optimal Thinning of MCMC Output

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May 08, 2020
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On the Sampling Problem for Kernel Quadrature

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Jun 11, 2017
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