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…