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On the Relationship Between Probabilistic Circuits and Determinantal Point Processes
Scaling probabilistic models to large realistic problems and datasets is...
06/26/2020 ∙ by Honghua Zhang, et al. ∙
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Scaling Exact Inference for Discrete Probabilistic Programs
Probabilistic programming languages (PPLs) are an expressive means of re...
05/18/2020 ∙ by Steven Holtzen, et al. ∙
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Symbolic Exact Inference for Discrete Probabilistic Programs
The computational burden of probabilistic inference remains a hurdle for...
04/03/2019 ∙ by Steven Holtzen, et al. ∙
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Generating and Sampling Orbits for Lifted Probabilistic Inference
Lifted inference scales to large probability models by exploiting symmet...
03/12/2019 ∙ by Steven Holtzen, et al. ∙
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Probabilistic Program Abstractions
Abstraction is a fundamental tool for reasoning about complex systems. P...
05/28/2017 ∙ by Steven Holtzen, et al. ∙
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