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Mathematical Optimization for Machine Learning: Proceedings of the Math+ Thematic Einstein Semester 2023
Hardcover
Series: de Gruyter Proceedings in Mathematics
General ComputersGeneral Mathematics
ISBN13: 9783111375854
Publisher: de Gruyter
Published: May 6 2025
Pages: 212
Weight: 1.19
Height: 0.50 Width: 6.69 Depth: 9.61
Language: English
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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