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Mathematical Optimization for Machine Learning

Proceedings of the MATH+ Thematic Einstein Semester 2023

By: Andrea Walther (Editor), Sebastian Pokutta (Editor), Martin Weiser (Editor), Konstantin Fackeldey (Editor), Kartikey Sharma (Editor)

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Hardcover | 22 April 2025

At a Glance

Hardcover
212 Pages

Dimensions(cm)
24.0 x 17.0 x 1.27

Hardcover

$114.37

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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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