Blending Learning and Inference in Structured Prediction

8 Oct 2012Tamir HazanAlexander SchwingDavid McAllesterRaquel Urtasun

In this paper we derive an efficient algorithm to learn the parameters of structured predictors in general graphical models. This algorithm blends the learning and inference tasks, which results in a significant speedup over traditional approaches, such as conditional random fields and structured support vector machines... (read more)

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