164 citations · 370 across the 24 of their papers we have counts for
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stat.ML2018★ 2 cited
Adversarially Learned Mixture Model
Andrew Jesson, Cécile Low-Kam, Tanya Nair +3
The Adversarially Learned Mixture Model (AMM) is a generative model for unsupervised or semi-supervised data clustering. The AMM is the first adversarially optimized method to mode…
stat.ML2014★ 23 cited
Effective Bayesian Modeling of Groups of Related Count Time Series
Nicolas Chapados
Time series of counts arise in a variety of forecasting applications, for which traditional models are generally inappropriate. This paper introduces a hierarchical Bayesian formul…