Online Robust Regression via SGD on the null 1 loss

Neural Information Processing Systems 

Robust learning is a critical field that seeks to develop efficient algorithms that can recover an underlying model despite possibly malicious corruptions in the data. In recent decades, being able to deal with corrupted measurements has become of crucial importance.

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