Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning

Machine Learning (ML) strongly relies on optimization procedures that are based on gradient descent. Several gradient-based update schemes have been proposed in the scientific literature, especially in the context of neural networks, that have become common optimizers in software libraries for ML. I...

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Bibliographische Detailangaben

Hauptverfasser:	Betti, Alessandro, Ciravegna, Gabriele, Gori, Marco, Melacci, Stefano, Mottin, Kevin, Precioso, Frédéric
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computer Science
Online-Zugang:	Volltext
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