The minimax rate for estimating d-th order moment tensors is sqrt(p/n) wedge 1, while low-degree evidence shows detection of vanishing cumulants is hard for n much less than p to the d/2, creating a reverse detection-estimation gap.
Computational lower bounds for graphon estimation via low-degree polynomials
2 Pith papers cite this work. Polarity classification is still indexing.
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New techniques establish sharp lower bounds ruling out low-degree polynomial estimation at the BBP and Kesten-Stigum thresholds for planted submatrix, dense subgraph, spiked Wigner, and stochastic block models.
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Detection Is Harder Than Estimation in Certain Regimes: Inference for Moment and Cumulant Tensors
The minimax rate for estimating d-th order moment tensors is sqrt(p/n) wedge 1, while low-degree evidence shows detection of vanishing cumulants is hard for n much less than p to the d/2, creating a reverse detection-estimation gap.
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Sharp Phase Transitions in Estimation with Low-Degree Polynomials
New techniques establish sharp lower bounds ruling out low-degree polynomial estimation at the BBP and Kesten-Stigum thresholds for planted submatrix, dense subgraph, spiked Wigner, and stochastic block models.