Learning algorithms have become an integral component to modern engineering solutions.
Examples range from self-driving cars and recommender systems to finance and even …

This tutorial serves as an introduction to recently developed non-asymptotic methods in the
theory of-mainly linear-system identification. We emphasize tools we deem particularly …

While subspace identification methods (SIMs) are appealing due to their simple
parameterization for MIMO systems and robust numerical realizations, a comprehensive …

The use of sequential data in modern machine learning solutions is abundant. Recent
success stories range from advances in natural language processing by pre-training large …