Author

S. G. Wang

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#machine learning Preprint Oct 2026

Learning structured linear dynamical systems from missing observations

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-convex objective function is proposed. Non-asymptotic bounds are obtained...

Aravinda Kanchana Ruwanpathirana, Hemant Tyagi, Sunny G. W. Wang · 0 citations

Preprint Jul 2026

Learning switched non-linear dynamical systems from a single trajectory

We study empirical risk minimization for learning non-linear dynamical systems whose transition dynamics may switch over time. Under stability assumptions, and i.i.d switching over a set of $K$ modes, we derive non-asymptotic bounds on the prediction risk expressed in terms of the metric entropy of the underlying funct...

S. G. Wang, Hemant Tyagi · 0 citations