Augur: Data-Parallel Probabilistic Modeling

NeurIPS 2014 Jean-Baptiste TristanDaniel HuangJoseph TassarottiAdam C. PocockStephen GreenGuy L. Steele

Implementing inference procedures for each new probabilistic model is time-consuming and error-prone. Probabilistic programming addresses this problem by allowing a user to specify the model and then automatically generating the inference procedure... (read more)

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