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Sat 23 Jan 2016 15:30 - 16:30 at Room St Petersburg II - Poster Session

We explore the use of parameterized monads for ensuring additional properties of distributions constructed by probabilistic programs. As a specific example we demonstrate how to statically ensure that conditioning in probabilistic programs does not depend on random choices made during execution. This allows us to ensure safety of application of inference algorithms such as Sequential Monte Carlo. We believe there are more potential uses of parameterized monads for probabilistic programming, such as restricting the latent space or keeping track of data types used for conditioning.

Sat 23 Jan

pps-2016
15:30 - 16:30: PPS 2016 - Poster Session at Room St Petersburg II
pps-201615:30 - 16:30
Meeting
Aleksey KligerXamarin, Inc., Sean StromstenBAE Systems, Inc.
Pre-print
pps-201615:30 - 16:30
Meeting
Theophilos GiannakopoulosBAE Systems, Inc., Mitchell WandNortheastern University, Andrew CobbNortheastern University
Pre-print
pps-201615:30 - 16:30
Meeting
Larry MossIndiana University, Chung-chieh ShanIndiana University, Alexandra SilvaRadboud University Nijmegen
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pps-201615:30 - 16:30
Meeting
Faris Abou-SalehUniversity of Oxford, Kwok-Ho CheungUniversity of Oxford, Jeremy GibbonsUniversity of Oxford, UK
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pps-201615:30 - 16:30
Meeting
Johannes HölzlTechnische Universität München
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pps-201615:30 - 16:30
Meeting
Yohei MiyamotoGraduate School of Informatics, Kyoto University, Kohei Suenaga, Koji NakazawaGraduate School of Information Science, Nagoya University
Pre-print
pps-201615:30 - 16:30
Meeting
Ryan CulpepperNortheastern University
Pre-print
pps-201615:30 - 16:30
Meeting
Pre-print
pps-201615:30 - 16:30
Meeting
Adam ŚcibiorUniversity of Cambridge, Andrew D. GordonMicrosoft Research and University of Edinburgh
Pre-print
pps-201615:30 - 16:30
Meeting
Adam ŚcibiorUniversity of Cambridge, Bernhard SchölkopfMPI Tuebingen
Pre-print