Mathematical Optimization for Machine Learning
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 contr...
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| Μορφή: | Online |
|---|---|
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
De Gruyter
2025
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| Θέματα: | |
| Διαθέσιμο Online: | ONIX_20250822T115951_9783111376776_51 |
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| _version_ | 1869520605221486592 |
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| collection | Directory of Open Access Books |
| description | 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 | Online |
| id | doab-20.500.12854ir-166095 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | De Gruyter |
| publisherStr | De Gruyter |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1660952025-08-23T05:02:11Z Mathematical Optimization for Machine Learning Weiser, Martin Kannan, Aswin Pokutta, Sebastian Sharma, Kartikey Walter, Daniel Walther, Andrea Fackeldey, Konstantin Mathematical optimization Machine learning Nonlinear optimization Discrete optimization Physics informed learning thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning 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. 2025-08-23T05:02:10Z 2025-08-23T05:02:10Z 2025-08-22T10:09:07Z 2025 book ONIX_20250822T115951_9783111376776_51 2942-4801 https://library.oapen.org/handle/20.500.12657/105686 9783111376776 9783111375854 9783111377742 https://directory.doabooks.org/handle/20.500.12854/166095 eng De Gruyter Proceedings in Mathematics open access image/jpeg Attribution-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/105686/1/9783111376776.pdf De Gruyter De Gruyter 10.1515/9783111376776 10.1515/9783111376776 af2fbfcc-ee87-43d8-a035-afb9d7eef6a5 9783111376776 9783111375854 9783111377742 De Gruyter 202 Berlin/Boston open access |
| spellingShingle | Mathematical optimization Machine learning Nonlinear optimization Discrete optimization Physics informed learning thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Mathematical Optimization for Machine Learning |
| title | Mathematical Optimization for Machine Learning |
| title_full | Mathematical Optimization for Machine Learning |
| title_fullStr | Mathematical Optimization for Machine Learning |
| title_full_unstemmed | Mathematical Optimization for Machine Learning |
| title_short | Mathematical Optimization for Machine Learning |
| title_sort | mathematical optimization for machine learning |
| topic | Mathematical optimization Machine learning Nonlinear optimization Discrete optimization Physics informed learning thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| topic_facet | Mathematical optimization Machine learning Nonlinear optimization Discrete optimization Physics informed learning thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| url | ONIX_20250822T115951_9783111376776_51 |