Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization

11 Jul 2020Hedda Cohen IndelmanTamir Hazan

Direct loss minimization is a popular approach for learning predictors over structured label spaces. This approach is computationally appealing as it replaces integration with optimization and allows to propagate gradients in a deep net using loss-perturbed prediction... (read more)

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