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SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives - MaRDI portal

SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives (Q6336177)

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preprint article from arXiv
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English
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives
preprint article from arXiv

    Statements

    5 March 2020
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    cs.LG
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    math.DS
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    stat.ML
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    Emmanouil Angelis
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    Philippe Wenk
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    Bernhard Schölkopf
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    Stefan Bauer
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    Andreas Krause
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    Identifiers

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