Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 - De Gruyter Proceedings in Mathematics - - Books - De Gruyter - 9783111375854 - May 6, 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.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released May 6, 2025
ISBN13 9783111375854
Publishers De Gruyter
Pages 212
Dimensions 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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