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"The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero ..."

Dmitry Kobak, Jonathan Lomond, Benoit Sanchez (2020)

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DOI: —

access: open

type: Journal Article

metadata version: 2020-11-18

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  - journals/jmlr/KobakLS20
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  - https://dblp.org/rec/journals/jmlr/KobakLS20
Dmitry Kobak, Jonathan Lomond, Benoit Sanchez:
The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization. J. Mach. Learn. Res. 21: 169:1-169:16 (2020)

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