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Nonconvex Optimization for Low-rank Matrix Related Problems
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Authors: Zhenzhen Li
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Type: BOOK - Published: 2020 - Publisher:

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Optimization on Low Rank Nonconvex Structures
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Authors: Hiroshi Konno
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Type: BOOK - Published: 2013-12-01 - Publisher: Springer Science & Business Media

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Global optimization is one of the fastest developing fields in mathematical optimization. In fact, an increasing number of remarkably efficient deterministic al
Optimality Guarantees for Non-convex Low Rank Matrix Recovery Problems
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Low rank matrices lie at the heart of many techniques in scientific computing and machine learning. In this thesis, we examine various scenarios in which we see
Non-convex Optimization for Machine Learning
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Authors: Prateek Jain
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Non-convex Optimization for Machine Learning takes an in-depth look at the basics of non-convex optimization with applications to machine learning. It introduce
Non-convex Optimization Methods for Sparse and Low-rank Reconstruction
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Authors: Penghang Yin
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An algorithmic framework, based on the difference of convex functions algorithm, is proposed for minimizing difference of ℓ1 and ℓ 2 norms (ℓ1-2 min