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Jacob R. Gardner
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Jacob R. Gardner10 visible / 10 total nodes / 9 links

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AuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipJacob R. GardnerAJacob R. GardnerResearcherSelf-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at ScaleWSelf-Driving Datasets: ...preprint / 2026Deep Manifold Traversal: Changing Labels with Convolutional FeaturesWDeep Manifold Traversal...preprint / 2016Parallel Support Vector Machines in PracticeWParallel Support Vector...preprint / 2014Compressed Support Vector MachinesWCompressed Support Vect...preprint / 2015Differentially Private Bayesian OptimizationWDifferentially Private ...preprint / 2015Local Bayesian optimization via maximizing probability of descentWLocal Bayesian optimiza...preprint / 2023A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU ComputingWA Reduction of the Elas...preprint / 2014Preconditioning for Scalable Gaussian Process Hyperparameter OptimizationWPreconditioning for Sca...preprint / 2022Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step TreesWEfficient Nonmyopic Bay...preprint / 2020
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Jacob R. Gardner

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PaperSelf-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at ScaleAuthorship / preprint / 2026PaperDeep Manifold Traversal: Changing Labels with Convolutional FeaturesAuthorship / preprint / 2016PaperParallel Support Vector Machines in PracticeAuthorship / preprint / 2014PaperCompressed Support Vector MachinesAuthorship / preprint / 2015PaperDifferentially Private Bayesian OptimizationAuthorship / preprint / 2015PaperLocal Bayesian optimization via maximizing probability of descentAuthorship / preprint / 2023PaperA Reduction of the Elastic Net to Support Vector Machines with an Application to GPU ComputingAuthorship / preprint / 2014PaperPreconditioning for Scalable Gaussian Process Hyperparameter OptimizationAuthorship / preprint / 2022

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