Introduction to online convex optimization / (Record no. 33522)
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| fixed length control field | 02077nam a22003017a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260717181017.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260717b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780262046985 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.76 |
| Item number | T22 HAZ |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Hazan, Elad |
| 245 1# - TITLE STATEMENT | |
| Title | Introduction to online convex optimization / |
| Statement of responsibility, etc | Elad Hazan |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | England : |
| Name of publisher | The MIT Press Combridge, |
| Year of publication | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xix, 222p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization method that learns from experience as more aspects of the problem are observed. This view of optimization as a process has led to some spectacular successes in modeling and systems that have become part of our daily lives.<br/><br/>Based on the “Theoretical Machine Learning” course taught by the author at Princeton University, the second edition of this widely used graduate level text features thoroughly updated material throughout; new chapters on boosting, adaptive regret, and approachability; expanded exposition on optimization; examples of applications, including prediction from expert advice, portfolio selection, matrix completion and recommendation systems, and SVM training, offered throughout; and exercises that guide students in completing parts of proofs. |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Convex programming |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Mathematical optimization |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Online algorithms |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Gradient methods (Mathematics) |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Game theory |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Statistical learning |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence |
| General subdivision | Mathematics |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Algorithms |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Operations research |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | last updated | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Nalanda Library | Nalanda Library | Circulation Books | 17/07/2026 | Intercontinental Book Agency | 5718.60 | 519.76 T22 HAZ | 23123 | 17/07/2026 | Books |