Large-Scale Algorithms for Machine Learning: Efficiency, Estimation Errors, and Beyond
Optimization algorithms stand as a cornerstone for machine learning and statistical inference. The advent of large-scale datasets introduces computational challenges, necessitating the pursuit of more efficient algorithms. Modern optimization techniques are usually tailored to particular machine lea...
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| Natura: | Tesi |
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Massachusetts Institute of Technology
2024
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| Accesso online: | https://hdl.handle.net/1721.1/155490 |