Robust Partially-Compressed Least-Squares

16 Oct 2015Stephen BeckerBan KawasMarek PetrikKarthikeyan N. Ramamurthy

Randomized matrix compression techniques, such as the Johnson-Lindenstrauss transform, have emerged as an effective and practical way for solving large-scale problems efficiently. With a focus on computational efficiency, however, forsaking solutions quality and accuracy becomes the trade-off... (read more)

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