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A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning.
Jinshan Zeng
Shaobo Lin
Yuan Yao
Published in:
CoRR (2019)
Keyphrases
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deep learning
convergence analysis
global convergence
unsupervised feature learning
machine learning
unsupervised learning
optimality conditions
convergence rate
mental models
weakly supervised
total variation
convex optimization
global optimum
object recognition
linear programming
approximation methods