Dear colleagues,
We are pleased to announce the *2nd Edition of the** School* in
*"Machine Learning of Dynamic Processes and Time Series Analysis” *
that will be held at Scuola Normale Superiore in Pisa (Italy) on *November 9-10, 2022*.
The School aims to present recent mathematical and data-driven approaches to Machine Learning for time series. In particular, this year, the School will focus on the mathematical and computational aspects of *Signatures, Reinforcement Learning, GAN, and Continual Learning*. The School includes four mini-courses held by as many keynote speakers and a limited number of contributed talks.
*Keynote speakers*:
1. *Davide Bacciu http://pages.di.unipi.it/bacciu/*, University of Pisa 2. *Xin Guo https://xinguo.ieor.berkeley.edu/*, UC Berkeley 3. *Sebastian Jaimungal https://sebastian.statistics.utoronto.ca/*, University of Toronto 4. *Terry Lyons https://www.maths.ox.ac.uk/people/terry.lyons*, Oxford Man Institute of Quantitative Finance
Detailed information on the School and instructions for registration can be found at:
https://mldyn2022.wordpress.com
(The number of participants in presence is limited to *40* - preference will be given to PhD students and young researchers)
The call for abstract/paper submission to be selected for a contributed talk is now open at the following easy-chair link:
https://easychair.org/conferences/?conf=mldyn2022
Both registration and submission deadlines are *September 15, 2022.*
To contact the Organizer Committee, please send an email to:
mldyn2022@gmail.com
The organisers,
Fabrizio Lillo Giulia Livieri Stefano Marmi Piero Mazzarisi