Slides from plenary talks
Johan Schoukens:Nonlinear System Identification. A User-Oriented Roadmap
Michael I Jordan: On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex
Csaba Szepesvári: Why should you work on reinforcement learning?
Paul M.J. Van den Hof: Data-driven modeling in linear dynamic networks
Gianluigi Pillonetto: Regularized kernel-based approaches to system identification