Preprint
Sep 2026
Robust dimension-free estimation of simple random tensors: optimal guarantees under heavy tails and adversarial contamination
This work proposes the first robust estimator achieving near-optimal dimension-free statistical rates in this setting, and extends the trimmed-mean framework underlying recent advances in robust mean and covariance estimation to arbitrary tensor order.
R. Oliveira, Zoraida F. Rico, Philip Thompson
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