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Can I read Online Learning: Theory, Algorithms, and Applications - Ph.D thesis on EtoBox?
Online Learning: Theory, Algorithms, and Applications - Ph.D thesis by Shai Shalev-Shwartz is a nonfiction available to read on EtoBox.
What is Online Learning: Theory, Algorithms, and Applications - Ph.D thesis about?
Abstract......Page 6 Online Learning......Page 11 Taxonomy of Online Learning Algorithms......Page 12 Main Contributions......Page 14 Outline......Page 16 Notation......Page 17 Bibliographic Notes......Page 19 I Theory......Page 21 Casting Online Learning as Online Convex Programming......Page 22 Regret......Page 24 Non-convex loss functions and relative mistake bounds......Page 25 Bibliographic notes......Page 27 Online Convex Programming by Incremental Dual Ascend......Page 28 Generalized Fenchel Duality......Page 29 A Low Regret Algorithmic Framework for Online Convex Programming......Page 30 Analysis......Page 32 Automatically tuning the complexity tradeoff parameter......Page 36 Tightness of regret bounds......Page 41 Bibliographic notes......Page 42 Generalized Strong Convexity......Page 44 Algorithmic Framework......Page 45 Analysis......Page 47 Bibliographic Notes......Page 49 II Algorithms......Page 50 Quasi-additive Online Classification Algorithms......Page 51 Deriving new online updates based on aggressive dual ascending procedures......Page 59 Complex Prediction Problems......Page 65 Bibliographic Notes......Page 72 A Primal-Dual Perspective of Boosting......Page 74 Ad
Who reads Online Learning: Theory, Algorithms, and Applications - Ph.D thesis?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Shai Shalev-Shwartz
- Language
- EN
- Category
- nonfiction
- Subjects
- Education
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