Mathematical Optimization for Machine Learning
Proceedings of the MATH+ Thematic Einstein Semester 2023
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Beschreibung
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.
Autor*in
Konstantin Fackeldey
Themen in »Mathematical Optimization for Machine Learning«
Mathematical optimization Machine learning Nonlinear optimization Discrete optimization Physics informed learning_x000D_ Mathematische Optimierung Maschinelles Lernen Nichtlineare Optimierung Diskrete Optimierung Physik-informiertes Lernen