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Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences.
Francisco Daunas
Iñaki Esnaola
Samir M. Perlaza
H. Vincent Poor
Published in:
CoRR (2024)
Keyphrases
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empirical risk minimization
uniform convergence
statistical learning theory
vc dimension
empirical risk
phase transition
computationally tractable
rates of convergence
special case
generalization bounds
machine learning
sufficient conditions
theoretical framework
fixed number
risk minimization