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Andreas Christmann
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Andreas Christmann15 visible / 15 total nodes / 33 links

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Related contextCo-authorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipWorks onWorks onWorks onAuthorshipWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAndreas ChristmannAAndreas ChristmannResearcherRatio-based Loss FunctionsWRatio-based Loss Functionspreprint / 2026Lena HelgerthALena HelgerthResearcherOn the stability of bootstrap estimatorsWOn the stability of boo...preprint / 2011Support Vector Machines for Additive Models: Consistency and RobustnessWSupport Vector Machines...preprint / 2010On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based MethodsWOn the Consistency of t...preprint / 2013Learning rates for the risk of kernel based quantile regression estimators in additive modelsWLearning rates for the ...preprint / 2014On the Robustness of Regularized Pairwise Learning Methods Based on KernelsWOn the Robustness of Re...preprint / 2015A short note on extension theorems and their connection to universal consistency in machine learningWA short note on extensi...preprint / 2016Machine LearningTMachine Learning49008 worksmath.STTmath.ST3384 worksTotal Stability of SVMs and Localized SVMsWTotal Stability of SVMs...preprint / 2021Estimation of scale functions to model heteroscedasticity by support vector machinesWEstimation of scale fun...preprint / 2011Estimating conditional quantiles with the help of the pinball lossWEstimating conditional ...preprint / 2011Qualitative Robustness of Support Vector MachinesWQualitative Robustness ...preprint / 2011
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Andreas Christmann

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PaperRatio-based Loss FunctionsAuthorship / preprint / 2026PersonLena HelgerthCo-authorship / ResearcherPaperOn the stability of bootstrap estimatorsAuthorship / preprint / 2011PaperSupport Vector Machines for Additive Models: Consistency and RobustnessAuthorship / preprint / 2010PaperOn the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based MethodsAuthorship / preprint / 2013PaperLearning rates for the risk of kernel based quantile regression estimators in additive modelsAuthorship / preprint / 2014PaperOn the Robustness of Regularized Pairwise Learning Methods Based on KernelsAuthorship / preprint / 2015PaperA short note on extension theorems and their connection to universal consistency in machine learningAuthorship / preprint / 2016

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