Sparse sub-gaussian random projections for semidefinite programming relaxations
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DOI: 10.1007/s10898-025-01559-5
Abstract: Random projection, a dimensionality reduction technique, has been found useful in recent years for reducing the size of optimization problems. In this paper, we explore the use of sparse sub-gaussian random projections to approximate semidefinite… read more here.
Keywords: gaussian random; semidefinite programming; sub gaussian; random projections ... See more keywords