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Jon Cockayne
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Jon Cockayne14 visible / 14 total nodes / 31 links

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Related contextCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipAuthorshipWorks onWorks onAuthorshipWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalJon CockayneAJon CockayneResearcherAffine Tracing: A New Paradigm for Probabilistic Linear SolversWAffine Tracing: A New P...preprint / 2026Disha HegdeADisha HegdeResearcherMarvin PförtnerAMarvin PförtnerResearcherTesting whether a Learning Procedure is CalibratedWTesting whether a Learn...preprint / 2022Probabilistic Gradients for Fast Calibration of Differential Equation ModelsWProbabilistic Gradients...preprint / 2021Probabilistic Iterative Methods for Linear SystemsWProbabilistic Iterative...preprint / 2021Comments on "Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & GirolamiWComments on "Bayesian S...preprint / 2016Machine LearningTMachine Learning49008 worksmath.NATmath.NA6807 worksTheoretical Guarantees for the Statistical Finite Element MethodWTheoretical Guarantees ...preprint / 2022Optimality Criteria for Probabilistic Numerical MethodsWOptimality Criteria for...preprint / 2019Optimal Thinning of MCMC OutputWOptimal Thinning of MCM...preprint / 2022Statistical Properties of the Probabilistic Numeric Linear Solver BayesCGWStatistical Properties ...preprint / 2022
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Jon Cockayne

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PaperAffine Tracing: A New Paradigm for Probabilistic Linear SolversAuthorship / preprint / 2026PersonDisha HegdeCo-authorship / ResearcherPersonMarvin PförtnerCo-authorship / ResearcherPaperTesting whether a Learning Procedure is CalibratedAuthorship / preprint / 2022PaperProbabilistic Gradients for Fast Calibration of Differential Equation ModelsAuthorship / preprint / 2021PaperProbabilistic Iterative Methods for Linear SystemsAuthorship / preprint / 2021PaperComments on "Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & GirolamiAuthorship / preprint / 2016TopicMachine LearningWorks on / 49008 works

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