Abstract: Highlights•We show the limitations of surrogate losses in multi-class classification.•We propose a new optimization approach for classification tasks.•We propose a new gradient computation algorithm for the proposed loss function.•We show the benefits of the proposed method in a wide range of classification tasks.•We demonstrate robustness of the proposed optimization method to the uniform label noise.
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