190 citations · 622 across the 19 of their papers we have counts for
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cs.AI2016
Fast Non-Parametric Tests of Relative Dependency and Similarity
Wacha Bounliphone, Eugene Belilovsky, Arthur Tenenhaus +3
We introduce two novel non-parametric statistical hypothesis tests. The first test, called the relative test of dependency, enables us to determine whether one source variable is s…
stat.ML2016★ 11 cited
Learning to Discover Sparse Graphical Models
Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux +1
We consider structure discovery of undirected graphical models from observational data. Inferring likely structures from few examples is a complex task often requiring the formulat…