A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning.

Jinshan Zeng Shaobo Lin Yuan Yao

Published in: CoRR (2019)

Keyphrases

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