Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023

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ISBN: 9783111375854
Author : Konstantin Fackeldey
Published: 2025
Publisher: De Gruyter
Number of pages: 240
Language: English
Format: Hardback
Format: 240×170

Description

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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