Search Results for author:
Found 2 papers, 2 papers with code
Compressed Sensing: A Discrete Optimization Approach
We derive a second order cone relaxation of this problem and show that under mild conditions on the regularization parameter, the resulting relaxation is equivalent to the well studied basis pursuit denoising problem.
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
We study the Sparse Plus Low-Rank decomposition problem (SLR), which is the problem of decomposing a corrupted data matrix into a sparse matrix of perturbations plus a low-rank matrix containing the ground truth.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
