Mathematical Optimization for Machine Learning

Author: Weiser Martin, Kannan Aswin, Pokutta Sebastian, Sharma Kartikey, Walter Daniel, Walther Andrea, Fackeldey Konstantin
Publisher: De Gruyter

ABOUT BOOK

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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