Research ArticleMATHEMATICS

Learning to learn from data: Using deep adversarial learning to construct optimal statistical procedures

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Science Advances  26 Feb 2020:
Vol. 6, no. 9, eaaw2140
DOI: 10.1126/sciadv.aaw2140

Article Information

vol. 6 no. 9

Online ISSN: 
History: 
  • Received for publication November 29, 2018
  • Accepted for publication December 6, 2019
  • .

Author Information

  1. Alex Luedtke1,2,*,
  2. Marco Carone2,3,
  3. Noah Simon3 and
  4. Oleg Sofrygin4
  1. 1Department of Statistics, University of Washington, Box 354322, Seattle, WA 98195, USA.
  2. 2Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N., Mail Stop E5-110, Seattle, WA 98109, USA.
  3. 3Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195, USA.
  4. 4Division of Research, Kaiser Permanente, 2000 Broadway, Oakland, CA 94612, USA.
  1. *Corresponding author. Email: aluedtke{at}uw.edu

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