Methods › General › Latent Variable Sampling › Polya-Gamma Augmentation
Data augmentation using Polya-Gamma latent variables.
Polya-Gamma Augmentation
Introduced by Nicholas G. Polson et al. in Bayesian inference for logistic models using Polya-Gamma latent variables
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
This method applies Polya-Gamma latent variables as a way to obtain closed form expressions for full-conditionals of posterior distributions in sampling algorithms like MCMC.
Papers archive 2025-07-28
6 shown of 6, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning 15 Feb 2021 · 1 repository · arXiv:2102.07868
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Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes 20 Jul 2020 · 2 repositories · arXiv:2007.10417
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Mutually Regressive Point Processes 1 Dec 2019 · 1 repository
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PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits 18 May 2018 · 0 repositories · arXiv:1805.07458
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Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation 18 Feb 2018 · 3 repositories · arXiv:1802.06383
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Bayesian inference for logistic models using Polya-Gamma latent variables 2 May 2012 · 2 repositories · arXiv:1205.0310
Tasks archive 2025-07-28
15 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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