Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity

1 code implementation • 22 Jun 2021 • Joshua K. Behne, Galen Reeves

These results are based on a novel reduction from the low-rank matrix tensor product model (with homogeneous noise) to a rank-one model with heteroskedastic noise.

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