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Trading off 1-norm and sparsity against rank for linear models using mathematical optimization: 1-norm minimizing partially reflexive ah-symmetric generalized inverses.

Marcia FampaJon LeeGabriel Ponte
Published in: Open J. Math. Optim. (2021)
Keyphrases
  • linear models
  • group lasso
  • variable selection
  • convex functions
  • sparsity inducing
  • linear model
  • gaussian processes
  • norm minimization
  • high dimensional
  • regression model
  • model selection