140 citations · 363 across the 28 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016★ 23 cited
Bayesian Variable Selection for Globally Sparse Probabilistic PCA
Charles Bouveyron, Pierre Latouche, Pierre-Alexandre Mattei
Sparse versions of principal component analysis (PCA) have imposed themselves as simple, yet powerful ways of selecting relevant features of high-dimensional data in an unsupervise…
stat.ML2016★ 25 cited
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks
Marco Corneli, Pierre Latouche, Fabrice Rossi
The stochastic block model (SBM) is a flexible probabilistic tool that can be used to model interactions between clusters of nodes in a network. However, it does not account for in…