Mathematical Optimization for Machine Learning
Proceedings of the MATH+ Thematic Einstein Semester 2023
Daniel Walter editor Martin Weiser editor Andrea Walther editor Konstantin Fackeldey editor Aswin Kannan editor Sebastian Pokutta editor Kartikey Sharma editor
Format:Hardback
Publisher:De Gruyter
Published:6th May '25
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9783111375854
Dimensions: unknown
Weight: 485g
212 pages