Mathematical Optimization for Machine Learning : Proceedings of the Math+ Thematic Einstein Semester 2023
Fackeldey, Konstantin (EDT); Kannan, Aswin (EDT); Pokutta, Sebastian (EDT); Sharma, Kartikey (EDT); Walter, Daniel (EDT)
Language: English
Published by De Gruyter, 2025
- Hardcover
- New

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- Title
- Mathematical Optimization for Machine Learning : Proceedings of the Math+ Thematic Einstein Semester 2023
- Author
- Fackeldey, Konstantin (EDT); Kannan, Aswin (EDT); Pokutta, Sebastian (EDT); Sharma, Kartikey (EDT); Walter, Daniel (EDT)
- Publisher
- De Gruyter
- Publication year
- 2025
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3111375854
- ISBN 13
- 9783111375854
Mathematical optimization and machine learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel optimization, machine learning in optimization, physics-informed learning, and fairness in machine learning.
"Synopsis" may belong to another edition of this title.
About the Author
M. Weiser, S. Pokutta, K. Sharma, ZIB, Germany; K. Fackeldey, TU Berlin; A. Kannan, D. Walter, A. Walther, Humboldt-Univ. Germany.
"About the title" may belong to another edition of this title.
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