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- June 6, 2021.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- 1Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
- 2Department of Cognitive Science & Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA, US, ajyu{at}ucsd.edu
- ↵*clind{at}eng.ucsd.edu
Posted June 06, 2021.
Understanding double descent through the lens of principal component regression
