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"item_title" : "Mathematical Optimization for Machine Learning",
"item_author" : [" Konstantin Fackeldey", "Aswin Kannan", "Sebastian Pokutta "],
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Mathematical Optimization for Machine Learning : Proceedings of the Math+ Thematic Einstein Semester 2023
Overview
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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Details
- ISBN-13: 9783111375854
- ISBN-10: 3111375854
- Publisher: de Gruyter
- Publish Date: May 2025
- Dimensions: 9.61 x 6.69 x 0.5 inches
- Shipping Weight: 1.19 pounds
- Page Count: 212
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