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Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression.
William T. Stephenson
Zachary Frangella
Madeleine Udell
Tamara Broderick
Published in:
CoRR (2021)
Keyphrases
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cross validation
ridge regression
ls svm
model selection
hyperparameters
linear regression
variable selection
regression methods
support vector
training set
support vector machine
regression model
generalization error
partial least squares
least squares
generalization ability