SEP 8, 2026 · PREPRINT
PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise
arXiv
This is a theoretical contribution deriving PAC-Bayesian bounds for a specific class of dynamical systems; it is a mathematical framework paper without empirical validation or clinical application.