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stat.ML2022
Robust Methods for High-Dimensional Linear Learning
Ibrahim Merad, Stéphane Gaïffas
We propose statistically robust and computationally efficient linear learning methods in the high-dimensional batch setting, where the number of features may exceed the sample…
stat.ML2022
Robust supervised learning with coordinate gradient descent
Stéphane Gaïffas, Ibrahim Merad
This paper considers the problem of supervised learning with linear methods when both features and labels can be corrupted, either in the form of heavy tailed data and/or corrupted…