This is a talk presented at the CADL (Computational Aspects of Deep Learning) workshop held during the 25th ICPR conference (held virtually in Milano, IT, Jan 10-15 2021) 
Talk materials:
deep learning
Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent: talk at the ICPR 2020 conference
This is a talk on a joint work with Imen Ayadi presented at the 25th ICPR conference (held virtually in Milano, IT, Jan 10-15 2021)
Talk materials: 
Youtube Video of the presentation and 
the slides of the presentation.
Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent: talk at the ICPR 2020 conference
This is a talk on a joint work with Imen Ayadi presented at the 25th ICPR conference (held virtually in Milano, IT, Jan 10-15 2021)
Talk materials: Youtube Video of the presentation and the slides of the presentation.
Contact : Gabriel Turinici
Professor
CEREMADE, Université Paris Dauphine
Place du Marechal de Lattre de Tassigny PARIS 75016 FRANCE
+330144054858
+330144054599
Other information
Email: Gabriel.Turinici_AT_dauphine.fr (remplacer _AT_ par @)