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Ben Adcock

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

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Oct 30, 2024
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Optimal sampling for least-squares approximation

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Sep 04, 2024
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On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know'

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Aug 05, 2024
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Optimal deep learning of holomorphic operators between Banach spaces

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Jun 20, 2024
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Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks

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Apr 04, 2024
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A unified framework for learning with nonlinear model classes from arbitrary linear samples

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Nov 25, 2023
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CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions

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Jun 01, 2023
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Restarts subject to approximate sharpness: A parameter-free and optimal scheme for first-order methods

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Jan 05, 2023
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CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning

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Aug 25, 2022
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Is Monte Carlo a bad sampling strategy for learning smooth functions in high dimensions?

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Aug 18, 2022
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