most citedClosed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization

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stat.ML2018

Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization

Alberto Lumbreras, Louis Filstroff, Cédric Févotte

Binary data matrices can represent many types of data such as social networks, votes, or gene expression. In some cases, the analysis of binary matrices can be tackled with nonnega…

stat.ML2018★ 2 cited

Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization

Louis Filstroff, Alberto Lumbreras, Cédric Févotte

We present novel understandings of the Gamma-Poisson (GaP) model, a probabilistic matrix factorization model for count data. We show that GaP can be rewritten free of the score/act…