Mathematische Optimierung für maschinelles Lernen: Proceedings of the Math + The...
Mathematical Optimization for Machine Learning : Proceedings of the Math+ Thematic Einstein Semester 2023, Hardcover by Fackeldey, Konstantin (EDT); Kannan, Aswin (EDT); Pokutta, Sebastian (EDT); Sharma, Kartikey (EDT); Walter, Daniel (EDT), ISBN 3111375854, ISBN-13 9783111375854, Like New Used, Free shipping in the US 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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