Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 (De Gruyter Proceedings in Mathematics) - Hardcover

 
9783111375854: Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 (De Gruyter Proceedings in Mathematics)
Hardcover
ISBN 10: 3111375854 ISBN 13: 9783111375854
Publisher: De Gruyter, 2025

Synopsis

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.

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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 this title" may belong to another edition of this title.

Publisher
De Gruyter
Publication date
2025
Language
English
ISBN 10 
3111375854
ISBN 13 
9783111375854
Binding
Hardcover
Number of pages
212
Editor
Fackeldey Konstantin, Kannan Aswin, Pokutta Sebastian, Sharma Kartikey, Walter Daniel, Walther Andrea, Weiser Martin