Learning structured linear dynamical systems from missing observations
arXiv:2610.11869v1 Announce Type: new Abstract: We consider the problem of learning structured linear dynamical systems over convex sets $\mathcal{K}$, where only a small subset of the observations are available at each time point. An estimator which minimizes a bias-corrected, potentially non-conv…
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- 2026-10-09 04:00 · arXiv stat.ML
Learning structured linear dynamical systems from missing observations