Probabilistic Inference with Generating Functions for Poisson Latent Variable Models

NeurIPS 2016 Kevin WinnerDaniel R. Sheldon

Graphical models with latent count variables arise in a number of fields. Standard exact inference techniques such as variable elimination and belief propagation do not apply to these models because the latent variables have countably infinite support... (read more)

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