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Polynomial time guarantees for the Burer-Monteiro method

NeurIPS 2022 · Learning theory and algorithms › Combinatorial and search optimization · approach: Structure and complexity of constraint reasoning · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add random perturbation (sigma=0.2) to a badly behaved SDPBurer-Monteiro with augmented Lagrangian · Perturbed bad SDP (n=50, m=28, p=r=7)percentage of instances solved: 52% -> 87%Helped
increase factorization rank p above the Barvinok-Pataki bound p=rBurer-Monteiro on planted SDPs · Random planted-solution SDPs, n=50, r in {4,7,12}percentage solved correctlyHelped

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