Scalable inference of topic evolution via models for latent geometric structures

Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen

Neural Information Processing Systems 

When data and the associated topics are indexed by time dimension, it is of interest to study the temporal dynamics of such latent geometric structures.

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