
Iterative regularization with the k-support norm provides a promising approach for achieving sparse recovery under wider conditions compared to traditional methods based on the ℓ1 norm.


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iterative-regularization-with-k-support-norm-a-complement-to-sparse-recovery


Iterative Regularization with k-support Norm: A Complement to Sparse Recovery


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The author introduces the eigenmatrix construction as a data-driven approach to address unstructured sparse recovery problems, offering a unified framework for such issues.


eigenmatrix-construction-for-unstructured-sparse-recovery-problems


Eigenmatrix Construction for Unstructured Sparse Recovery Problems
