Sample-complexity bound for high-order linear systems
Produced by Long-Context Linear System Identification
A formally justified bound on how much data is sufficient or necessary to achieve a specified learning objective.
It makes the dependence on accuracy, confidence, dimensionality, or other problem parameters explicit.
Produced by Long-Context Linear System Identification
Produced by On the Sample Complexity of Next-Token Prediction