Giorgia Franchini from the Università degli Studi di Modena presents a poster at the Summer School on Applied Harmonic Analysis and Machine Learning on 12 September 2019. The poster is titled "Adaptive selection of the learning rate in Stochastic Gradient Methods" and has attracted many interested people from the audience who wished to learn about research related to the CLASS project.
About the event
The Summer School on Applied Harmonic Analysis and Machine Learning takes place on 9-13 September in Genoa, Italy and is hosted by the DIBRIS department of the Univerity of Genoa. It consists of courses on applied harmonic analysis and machine learning, given by leading experts.