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Functional Tensors for Probabilistic Programming
It is a significant challenge to design probabilistic programming system...
10/23/2019 ∙ by Fritz Obermeyer, et al. ∙
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Tensor Variable Elimination for Plated Factor Graphs
A wide class of machine learning algorithms can be reduced to variable e...
02/08/2019 ∙ by Fritz Obermeyer, et al. ∙
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Joint Mapping and Calibration via Differentiable Sensor Fusion
We leverage automatic differentiation (AD) and probabilistic programming...
11/21/2018 ∙ by Jonathan P. Chen, et al. ∙
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Pyro: Deep Universal Probabilistic Programming
Pyro is a probabilistic programming language built on Python as a platfo...
10/18/2018 ∙ by Eli Bingham, et al. ∙
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Pathwise Derivatives Beyond the Reparameterization Trick
We observe that gradients computed via the reparameterization trick are ...
06/05/2018 ∙ by Martin Jankowiak, et al. ∙
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Scaling Nonparametric Bayesian Inference via Subsample-Annealing
We describe an adaptation of the simulated annealing algorithm to nonpar...
02/22/2014 ∙ by Fritz Obermeyer, et al. ∙
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