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Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods.
Yuto Nishimura
Taiji Suzuki
Published in:
ICLR (2024)
Keyphrases
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input output
kernel methods
infinite dimensional
support vector
convolutional neural networks
finite dimensional
feature space
learning tasks
machine learning
support vector machine
kernel function
learning problems
reproducing kernel hilbert space
data sets
high dimensional
learning theory
kernel matrix