RapidWarez

Name: Fackeldey K Mathematical Optimization for Machine Learning 2025
Format: pdf
Size: 13.22 MB

Title: Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023
Author: Konstantin Fackeldey (Editor), Aswin Kannan (Editor), Sebastian Pokutta (Editor), Kartikey Sharma (Editor), Daniel Walter (Editor)
Language: angielski
Year: 2025
Subjects: Science & Technology, Engineering, Mathematics, Engineering - General & Miscellaneous, Computer Mathematics, Mathematical Programming & Operations Research, Mathematical optimization
Publisher: De Gruyter
ISBN: 9783111377742
Total pages: 212

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.