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Robust Computation of Linear Models by Convex Relaxation.

Gilad LermanMichael B. McCoyJoel A. TroppTeng Zhang
Published in: Found. Comput. Math. (2015)
Keyphrases
  • linear models
  • convex relaxation
  • variable selection
  • convex optimization
  • linear model
  • globally optimal
  • gaussian processes
  • linear regression
  • multiple kernel learning
  • data sets
  • dimensionality reduction
  • multistage