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

Roy Smith: Modeling, Identification, Estimation and Adaptation for the Control of Power Generating Kites