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Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes.
Jianchao Bai
Deren Han
Hao Sun
Hongchao Zhang
Published in:
CoRR (2021)
Keyphrases
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stochastic approximation
approximate dynamic programming
convergence speed
convergence rate
monte carlo
stochastic optimization
total variation
convex optimization
stochastic model
learning automata
neural network
reinforcement learning
iterative algorithms