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Ryan Murray

Large data limits and scaling laws for tSNE

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Oct 16, 2024
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On Probabilistic Embeddings in Optimal Dimension Reduction

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Aug 05, 2024
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Uniform Convergence of Adversarially Robust Classifiers

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Jun 20, 2024
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Dirichlet Active Learning

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Nov 09, 2023
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Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features

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Oct 31, 2023
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Rates of Convergence for Regression with the Graph Poly-Laplacian

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Sep 06, 2022
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Eikonal depth: an optimal control approach to statistical depths

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Jan 14, 2022
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The Geometry of Adversarial Training in Binary Classification

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Nov 26, 2021
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Tukey Depths and Hamilton-Jacobi Differential Equations

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Apr 04, 2021
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Adversarial Classification: Necessary conditions and geometric flows

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Nov 21, 2020
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