On Stochastic Moving-Average Estimators for Non-Convex Optimization.

Zhishuai Guo Yi Xu Wotao Yin Rong Jin Tianbao Yang

Published in: CoRR (2021)

Keyphrases

convex optimization
moving average
autoregressive
interior point methods
low rank
total variation
primal dual
convex relaxation
norm minimization
operator splitting
image restoration
convex optimization problems
alternating direction method of multipliers
image sequences
bayesian networks
information extraction