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On Linear Convergence of Non-Euclidean Gradient Methods without Strong Convexity and Lipschitz Gradient Continuity.
Heinz H. Bauschke
Jérôme Bolte
Jiawei Chen
Marc Teboulle
Xianfu Wang
Published in:
J. Optim. Theory Appl. (2019)
Keyphrases
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benchmark datasets
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gradient method
steepest ascent
feature extraction
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machine learning methods
linear models