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Joel Tropp

1 accepted papers

2017

Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage

AISTATS 2017poster

This paper concerns a fundamental class of convex matrix optimization problems. It presents the first algorithm that uses optimal storage and provably computes a low-rank approximation of a solution. In particular, when all solutions have low rank, the algorithm converges to a solution. This algorit…

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