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On the complexity of PAC learning in Hilbert spaces.
Sergei Chubanov
Published in:
CoRR (2023)
Keyphrases
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pac learning
hilbert spaces
uniform distribution
sample complexity
learning theory
learning problems
sample size
variational inequalities
hilbert space
decision problems
worst case
membership queries
loss function
decision trees
principal component analysis
computational complexity
multiscale
training data