Mathematical Optimization for Machine Learning : Proceedings of the MATH+ Thematic Einstein Semester 2023
Book Details
Format
Hardback or Cased Book
Book Series
De Gruyter Proceedings in Mathematics
ISBN-10
3111375854
ISBN-13
9783111375854
Publisher
De Gruyter
Imprint
De Gruyter
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 6th, 2025
Print length
212 Pages
Weight
485 grams
Ksh 26,200.00
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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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