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Learning structured linear dynamical systems from missing observations
We consider the problem of learning structured linear dynamical systems over convex sets K, where only a small subset of the …
Aravinda Kanchana Ruwanpathirana, Hemant Tyagi, Sunny Wang
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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 …
Sunny Wang, Hemant Tyagi
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Structural adaptation and rate accelerated estimation in bivariate functional data
We introduce directional regularity, a new definition of anisotropy for multivariate functional data. Instead of taking the …
Omar Kassi, Sunny Wang
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Rate accelerated inference for integrals of multivariate random functions
The computation of integrals is a fundamental task in the analysis of functional data, which are typically considered as random …
Valentin Patilea, Sunny Wang
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Adaptive Functional Principal Components Analysis
Functional data analysis (FDA) almost always involves smoothing discrete observations into curves, because they are never observed in …
Sunny Wang, Valentin Patilea, Nicolas Klutchnikoff
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