187 citations · 529 across the 15 of their papers we have counts for
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cs.DS2016★ 10 cited
Principal Component Projection Without Principal Component Analysis
Roy Frostig, Cameron Musco, Christopher Musco +1
We show how to efficiently project a vector onto the top principal components of a matrix, without explicitly computing these components. Specifically, we introduce an iterative al…
cs.DS2014
A sub-constant improvement in approximating the positive semidefinite Grothendieck problem
Roy Frostig, Sida I. Wang
Semidefinite relaxations are a powerful tool for approximately solving combinatorial optimization problems such as MAX-CUT and the Grothendieck problem. By exploiting a bounded ran…