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 control, first-order methods, multilevel optimization, machine learning in optimization, physics-informed learning, and fairness in machine learning.

• Format: Hardcover
• Language: English
• ISBN: 3111375854
• ISBN13: 9783111375854
• Release Date: May 2025
• Publisher: de Gruyter
• Length: 212 Pages
• Weight: 1.19 lbs.
• Dimensions: 0.5" x 6.7" x 9.6"