Stochastic Forward–Backward Splitting for Monotone Inclusions
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-as...
Main Authors: | Villa, Silvia, Vũ, Bang Công, Rosasco, Lorenzo Andrea |
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Other Authors: | Massachusetts Institute of Technology. Laboratory for Computational and Statistical Learning |
Format: | Article |
Language: | English |
Published: |
Springer US
2016
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Online Access: | http://hdl.handle.net/1721.1/103419 https://orcid.org/0000-0001-6376-4786 |
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