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

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 contr...

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Bibliographic Details
Main Author: Fackeldey, Konstantin
Format: eBook
Language:Undetermined
Published: De Gruyter 2025
Subjects:
Diskrete Optimierung.
Maschinelles Lernen.
Mathematische Optimierung.
Nichtlineare Optimierung.
Physik-informiertes Lernen.
MATHEMATICS / Optimization.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource
ISBN:9783111376776
311137677X