Mathematical Optimization for Machine Learning

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Mathematical Optimization for Machine Learning

Martin Weiser (editor), Aswin Kannan (editor), Sebastian Pokutta (editor), Kartikey Sharma (editor), Daniel Walter (editor), Andrea Walther (editor), Konstantin Fackeldey (editor)

2025 en

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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.

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DOI: 10.1515/9783111376776

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Contributors: Martin Weiser, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Konstantin Fackeldey,
1 ebooks
Publisher: De Gruyter
Published: 2025

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