research
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09/06/2022
A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance & heterogeneous noise
We revisit heavy-tailed corrupted least-squares linear regression assumi...
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12/12/2020
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion
We consider high-dimensional least-squares regression when a fraction ϵ ...
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04/12/2019
Outlier-robust estimation of a sparse linear model using ℓ_1-penalized Huber's M-estimator
We study the problem of estimating a p-dimensional s-sparse vector in a ...
research
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05/21/2018