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Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
Dominic Richards
Edgar Dobriban
Patrick Rebeschini
Published in:
CoRR (2021)
Keyphrases
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linear models
ridge regression
linear regression
regression methods
least squares
linear model
variable selection
kernel regression
gaussian processes
regression model
regression method
support vector machine
loss function
ls svm
causal relationships
positive and negative examples