A matrix-sketching framework with sensitivity-informed ensemble sampling selects data subsets that preserve the conditioning of the full-data Fisher Information Matrix for inverse problems.
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Sensitivity-preserving of Fisher Information Matrix through random data down-sampling for experimental design
A matrix-sketching framework with sensitivity-informed ensemble sampling selects data subsets that preserve the conditioning of the full-data Fisher Information Matrix for inverse problems.