Stochastic Forward–Backward Splitting for Monotone Inclusions

@article{Rosasco2016StochasticFS,
  title={Stochastic Forward–Backward Splitting for Monotone Inclusions},
  author={Lorenzo Rosasco and Silvia Villa and Bang C{\^o}ng Vu},
  journal={Journal of Optimization Theory and Applications},
  year={2016},
  volume={169},
  pages={388-406}
}
We propose and analyze the convergence of a novel stochastic algorithm for monotone inclusions that are sum of a maximal monotone operator and a single-valued cocoercive operator. The algorithm we propose is a natural stochastic extension of the classical forward–backward method. We provide a non-asymptotic error analysis in expectation for the strongly monotone case, as well as almost sure convergence under weaker assumptions. For minimization problems, we recover rates matching those obtained… 

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