arXiv:2604.21270v1 Announce Type: new Abstract: There has been remarkable progress over the past decade in establishing finite-sample, non-asymptotic bounds on recovering unknown system parameters from observed system behavior. Surprisingly, however, we show that the current state-of-the-art bounds do not accurately capture the statistical complexity of system identification, even in the most fund
CLT-Optimal Parameter Error Bounds for Linear System Identification
Yichen Zhou, Stephen Tu·arXiv stat.ML··1 min read
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