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Adaptivity in Online and Statistical Learning

Mhammedi, Zakaria


Many modern machine learning algorithms, though successful, are still based on heuristics. In a typical application, such heuristics may manifest in the choice of a specific Neural Network structure, its number of parameters, or the learning rate during training. Relying on these heuristics is not ideal from a computational perspective (often involving multiple runs of the algorithm), and can also lead to over-fitting in some cases. This motivates the following question: for which machine...[Show more]

CollectionsOpen Access Theses
Date published: 2021
Type: Thesis (PhD)
DOI: 10.25911/B2WE-2B20


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