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"Optimistic Rates: A Unifying Theory for Interpolation Learning and ..."

Lijia Zhou et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-12-14

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2112-04470
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2112-04470
Lijia Zhou, Frederic Koehler, Danica J. Sutherland, Nathan Srebro:
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression. CoRR abs/2112.04470 (2021)

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