Probabilistic Programming with Stochastic Probabilities

Probabilistic Programming with Stochastic Probabilities

We present a new approach to the design and implementation of probabilistic programming languages (PPLs), based on the idea of stochastically estimating the probability density ratios necessary for probabilistic inference. By relaxing the usual PPL design constraint that these densities be compute...

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מידע ביבליוגרפי
Main Authors: Lew, Alexander K., Ghavamizadeh, Matin, Rinard, Martin C., Mansinghka, Vikash K.
מחברים אחרים: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
פורמט: Article
שפה:English
יצא לאור: ACM 2023
גישה מקוונת:https://hdl.handle.net/1721.1/151094

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