Non-convex Optimization for Machine Learning
Author:   Prateek Jain ,  Purushottam Kar
Publisher:   now publishers Inc
ISBN:  

9781680833683


Pages:   217
Publication Date:   04 December 2017
Format:   Paperback
Availability:   In Print   Availability explained
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Non-convex Optimization for Machine Learning


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Author:   Prateek Jain ,  Purushottam Kar
Publisher:   now publishers Inc
Imprint:   now publishers Inc
Dimensions:   Width: 15.60cm , Height: 1.20cm , Length: 23.40cm
Weight:   0.313kg
ISBN:  

9781680833683


ISBN 10:   1680833685
Pages:   217
Publication Date:   04 December 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface. Mathematical Notation. PART 1: Introduction and Basic 1. Introduction 2. Mathematical Tools. PART II: 3. Non-Convex Projected Gradient Descent 4. Alternating Minimization 5. The EM Algorithm 6. Stochastic Optimization Techniques PART III: 7. Sparse Recovery 8. Low-rank Matrix Recovery 9. Robust Linear Regression 10. Phase Retrieval. References.

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