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...
          
            research
          
      
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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 ...
          
            research
          
      
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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
          
      
      ∙
      05/21/2018
     
             
  
  
     
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