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Dependent normalized random measures

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If you have a question about this talk, please contact Konstantina Palla .

In this talk, I am going to talk about dependent normalized random measures. First, I will do a brief introduction to normalized random measures (NRM), then talk about the posterior of the normalized generalized Gamma process (NGG), a special case of the NRM . Then I will introduce our construction of dependent NRMs based on the three dependency operations on the underlying Poisson processes, e.g., superposition, subsampling and point transition. Finally we apply our dependent NRM framework to dynamic topic modeling, and show some interesting results on it.

This talk is part of the Machine Learning Reading Group @ CUED series.

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