10 citations · 58 across the 46 of their papers we have counts for
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cs.AI2022★ 10 cited
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks
Rafael Ballester-Ripoll, Manuele Leonelli
Sensitivity analysis measures the influence of a Bayesian network's parameters on a quantity of interest defined by the network, such as the probability of a variable taking a spec…
stat.ML2022★ 1 cited
Highly Efficient Structural Learning of Sparse Staged Trees
Manuele Leonelli, Gherardo Varando
Several structural learning algorithms for staged tree models, an asymmetric extension of Bayesian networks, have been defined. However, they do not scale efficiently as the number…
stat.ML2022★ 2 cited
Structural Learning of Simple Staged Trees
Manuele Leonelli, Gherardo Varando
Bayesian networks faithfully represent the symmetric conditional independences existing between the components of a random vector. Staged trees are an extension of Bayesian network…