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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:
NeurIPS (2021)
Keyphrases
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cross validation
ridge regression
ls svm
model selection
linear regression
hyperparameters
support vector
variable selection
regression methods
support vector machine
training set
generalization error
regression model
least squares
input variables
closed form
partial least squares
regression method