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Robust dimension-free estimation of simple random tensors: optimal guarantees under heavy tails and adversarial contamination
We study robust estimation of simple random tensors of arbitrary order $q\in\mathbb{N}$ under finite-moment assumptions and adversarial contamination. We propose the first robust estimator achieving near-optimal dimension-free statistical rates in this setting. The estimator attains the near-optimal
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