Second-order methods for deep learning

Speaker: Alessandro Temperoni (Faculty of Science, Technology and Medicine; University of Luxembourg)
Title: Second-order methods for deep learning
Time: Wednesday, 2021.07.14, 10:00 a.m. (CET)
Place: fully virtual (contact Jakub Lengiewicz to register)
Format: 30 min. presentation + 30 min. discussion

Abstract: Second-order methods techniques are widely used in the field of optimization and have been recently applied to neural networks with impressive results. In this seminar, I will present two applications of second-order methods for deep learning.