Stein Variational Gradient Descent

Liu, Q., & Wang, D. (2016). Stein Variational Gradient Descent: A general-purpose Bayesian inference algorithm. Proceedings of the 33rd International Conference on Machine Learning, 2378-2386.

Type

Conference paper

Intellectual base

Primary research

Year

2016

Pages

2378-2386

Link

https://arxiv.org/abs/1608.04471 not authoritativefound

Cited from

statistics_experimental_design

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

• Monte Carlo Simulation

  • This sourceLiu-Wang SVGD particle-based variational inference alternative to MCMC.

Verification

Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.

Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.

Was it audited? Yes. A second, independent pass read the citation against the article text and recorded a verdict.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

See how references were verified.

Registry ID ref:efbcaa378781 · see in the full table