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Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic Modeling Algorithms

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Figure

Table 1: Notation used.Matrices are in boldQ(, C), sets are in script S
Table 2: The number of documents in the train,development, and test folds in our three datasets.
Figure 1: Grid search for document frequency Mfor our datasets with 20 topics (other configurations notshown) on development data
Figure 3: Comparing anchor-beta and anchor-L2 against the original anchor and the traditional vari-ational and MCMC on HL score and TI score
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