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Michael Griebel

Learning Lipschitz Operators with respect to Gaussian Measures with Near-Optimal Sample Complexity

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Oct 30, 2024
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Convergence analysis of online algorithms for vector-valued kernel regression

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Sep 14, 2023
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Deep Neural Networks and PIDE discretizations

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Aug 05, 2021
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Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids

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Oct 15, 2018
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A representer theorem for deep kernel learning

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Jun 07, 2018
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