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Adaptive proximal gradient methods are universal without approximation.
Konstantinos A. Oikonomidis
Emanuel Laude
Puya Latafat
Andreas Themelis
Panagiotis Patrinos
Published in:
CoRR (2024)
Keyphrases
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computational cost
neural network
information retrieval
preprocessing
error bounds
data sets
computer vision
optimal solution
significant improvement
benchmark datasets
machine learning methods
computationally expensive
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