Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 - De Gruyter Proceedings in Mathematics -  - Grāmatas - De Gruyter - 9783111375854 - 2025. gada 6. maijs
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Mathematical Optimization for Machine Learning: Proceedings of the MATH+ Thematic Einstein Semester 2023 - De Gruyter Proceedings in Mathematics

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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.

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2025. gada 6. maijs
ISBN13 9783111375854
Izdevēji De Gruyter
Lapas 212
Izmēri 150 × 220 × 20 mm   ·   485 g
Redaktors Fackeldey, Konstantin
Redaktors Kannan, Aswin
Redaktors Pokutta, Sebastian
Redaktors Sharma, Kartikey
Redaktors Walter, Daniel
Redaktors Walther, Andrea
Redaktors Weiser, Martin

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