Smoothed Online Learning: Theory and Applications
Many of the algorithms and theoretical results surrounding modern machine learning are predicated on the assumption that data are independent and identically distributed. Motivated by the numerous applications that do not satisfy this assumption, many researchers have been interested in relaxations...
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| Formato: | Thesis |
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Massachusetts Institute of Technology
2024
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| Acceso en liña: | https://hdl.handle.net/1721.1/155382 |