A randomized subspace Levenberg-Marquardt method with adaptively chosen subspace size retains O(epsilon^-2) complexity and shows practical cost savings.
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A variable dimension sketching strategy for nonlinear least-squares
A randomized subspace Levenberg-Marquardt method with adaptively chosen subspace size retains O(epsilon^-2) complexity and shows practical cost savings.