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Non-convex optimization for machine learning
Abstract
Non-convex Optimization for Machine Learning takes an in-depth look at the basics of non-convex optimization with applications to machine learning. It introduces the rich literature in this area, as well as equips the reader with the tools and techniques needed to apply and analyze simple but powerful procedures for non-convex problemsSimilar works
This paper was published in CERN Document Server.
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