Mathematical Optimization for Machine Learning (eBook, ePUB)

Proceedings of the MATH+ Thematic Einstein Semester 2023

Redaktion: Fackeldey, Konstantin; Weiser, Martin; Walther, Andrea; Walter, Daniel; Sharma, Kartikey; Pokutta, Sebastian; Kannan, Aswin

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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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