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Stochastic Gradient Descent applied to Least Squares regularizes in Sobolev spaces.
Stefan Steinerberger
Published in:
CoRR (2020)
Keyphrases
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least squares
stochastic gradient descent
feature extraction
parameter estimation
matrix factorization
machine learning
image processing
knn
loss function
random forests