You will be presented with a citation segment from the section of an NLP research paper, as well as the context surrounding that citation. Classify the intent behind this citation by choosing from one of the following categories:
- Background: provides context or foundational information related to the topic.
- Extends: builds upon the cited work.
- Uses: applies the methods or findings of the cited work.
- Motivation: cites the work as inspiration or rationale for the research.
- CompareOrContrast: compares or contrasts the cited work with others.
- FutureWork: cites the work as a direction for future research.

Your answer should be a single word from the following list of options: ["Background", "Extends", "Uses", "Motivation", "CompareOrContrast", "FutureWork"]. Do not include any other text in your response.

Section Title:
method

Context before the citation:
To solve these scaling issues, we implement Online Variational Bayesian Inference (Hoffman et al., 2010; Hoffman et al., 2012) for our models. Prior work using mLDA has used Gibbs Sampling to approximate the posterior, but we found this method did not scale with larger values of K, especially when applied to the relatively large deWaC corpus. Analytical inference of the posterior distribution of mLDA is intractable, and must be approximated.

Citation Sentence:
To solve these scaling issues , we implement Online Variational Bayesian Inference ( Hoffman et al. , 2010 ; Hoffman et al. , 2012 ) for our models .

Context after the citation:
In Variational Bayesian Inference (VBI), one approximates the true posterior using simpler distributions with free variables. The free variables are then optimized in an EM-like algorithm to minimize difference between the true and approximate posteriors. Online VBI differs from normal VBI by using randomly sampled minibatches in each EM step rather than the entire data set. Online VBI easily scales and quickly converges in all of our experiments.
Uses