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R. Oliveira

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Preprint Sep 2026

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 corruption rate whe...

R. Oliveira, Zoraida F. Rico, Philip Thompson · 0 citations
Preprint Aug 2026

Debiasing the Lasso under Weaker Tail Assumptions

We consider the problem of high-dimensional inference with the lasso estimator. Different methods including'double selection'techniques and multiple versions of the'debiased lasso'have been proposed for this task with noticeable success. However, most guarantees assume strong hypotheses on the underlying data process a...

Leonardo Voltarelli, R. Oliveira · 0 citations

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