Author

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

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 · 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