Papers with MetropolisHastings Walker method
Scalable Collapsed Inference for High-Dimensional Topic Models (N19-1)
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| Challenge: | Existing methods have achieved two out of three criteria simultaneously, but never all three at once. |
| Approach: | They propose an online inference algorithm which leverages stochasticity to scale well in the number of documents and sparsity to achieve accurate inference. |
| Outcome: | The proposed algorithm scales well in the number of documents and topics while achieving accurate inference. |