9 citations · 41 across the 15 of their papers we have counts for
3 papers · 1 filter
Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
Enrique Valero-Leal, Pedro Larrañaga, Concha Bielza
Counterfactual explanations study what should have changed in order to get an alternative result, enabling end-users to understand machine learning mechanisms with counterexamples.…
Bandwidth Selectors on Semiparametric Bayesian Networks
Victor Alejandre, Concha Bielza, Pedro Larrañaga
Semiparametric Bayesian networks (SPBNs) integrate parametric and non-parametric probabilistic models, offering flexibility in learning complex data distributions from samples. In…
Binned semiparametric Bayesian networks for efficient kernel density estimation
Rafael Sojo, Javier Díaz-Rozo, Concha Bielza +1
This paper introduces a new type of probabilistic semiparametric model that takes advantage of data binning to reduce the computational cost of kernel density estimation in nonpara…