Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023
Konstantin Fackeldey · Aswin Kannan · Sebastian Pokutta · Kartikey Sharma · Daniel Walter · Andrea Walther · Martin Weiser
May 2025 · Walter de Gruyter GmbH & Co KG
Ebook
212
Pages
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About this ebook
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.
About the author
M. Weiser, S. Pokutta, K. Sharma, ZIB, Germany; K. Fackeldey, TU Berlin; A. Kannan, D. Walter, A. Walther, Humboldt-Univ. Germany.
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