Conic Scan-and-Cover algorithms for nonparametric topic modeling

NeurIPS 2017 Mikhail YurochkinAritra GuhaXuanLong Nguyen

We propose new algorithms for topic modeling when the number of topics is unknown. Our approach relies on an analysis of the concentration of mass and angular geometry of the topic simplex, a convex polytope constructed by taking the convex hull of vertices representing the latent topics... (read more)

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