Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 - De Gruyter Proceedings in Mathematics -  - Libros - De Gruyter - 9783111375854 - 6 de mayo de 2025
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Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 - De Gruyter Proceedings in Mathematics

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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.

Medios de comunicación Libros     Hardcover Book   (Libro con lomo y cubierta duros)
Publicado 6 de mayo de 2025
ISBN13 9783111375854
Editores De Gruyter
Páginas 212
Dimensiones 150 × 220 × 20 mm   ·   485 g
Editor Fackeldey, Konstantin
Editor Kannan, Aswin
Editor Pokutta, Sebastian
Editor Sharma, Kartikey
Editor Walter, Daniel
Editor Walther, Andrea
Editor Weiser, Martin

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