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, Brand New, Free P&P in the UK 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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