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Mathematical Optimization for Machine Learning

  • 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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Metadaten
Editor:Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walter, Martin Weiser
Document Type:Proceedings
Series:De Gruyter Proceedings in Mathematics
Publisher:De Gruyter
Year of first publication:2025
DOI:https://doi.org/10.1515/9783111376776
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