MLDYN2022: Second Edition of the School in Machine Learning of Dynamic Processes and Time Series Analysis
Photo: Rachel Claire / Pexels
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.
Four keynote speakers will hold minicourses:
- Davide Bacciu, University of Pisa
- Xin Guo, UC Berkeley
- Sebastian Jaimungal, University of Toronto
- Terry Lyons, University of Oxford.
There will also be a limited number of contributed talks.
