Methods › General › Latent Variable Sampling › Polya-Gamma Augmentation

Data augmentation using Polya-Gamma latent variables.

Polya-Gamma Augmentation

6 papers tagged archive 2025-07-28

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.

PaperSource

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.

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.

TaskPapers
Bayesian Inference2
Classification2
Data Augmentation2
Gaussian Processes2
General Classification2
Computational Efficiency1
Few-Shot Learning1
Incremental Learning1
Multi-Armed Bandits1
Multi-class Classification1
Numerical Integration1
Point Processes1
Thompson Sampling1
Uncertainty Quantification1
regression1

Usage over time archive 2025-07-28

Papers per year tagged with Polya-Gamma Augmentation: 2012 to 2021, peak 2 2 0 2012: 1 paper 2012 2013: 0 papers 2013 2014: 0 papers 2014 2015: 0 papers 2015 2016: 0 papers 2016 2017: 0 papers 2017 2018: 2 papers 2018 2019: 1 paper 2019 2020: 1 paper 2020 2021: 1 paper 2021
Papers per year the archive tags with this method, by the paper's archive date (6 dated). Bars are counts, not a trend claim.

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

Latent Variable Sampling

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