116 citations · 267 across the 30 of their papers we have counts for
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cs.AI2022★ 3 cited
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows
Sourabh Balgi, Jose M. Peña, Adel Daoud
This work demonstrates the application of a particular branch of causal inference and deep learning models: \emph{causal-Graphical Normalizing Flows (c-GNFs)}. In a recent contribu…
cs.AI2013★ 116 cited
Combinatorial Optimization by Learning and Simulation of Bayesian Networks
Pedro Larrañaga, Ramon Etxeberria, Jose A. Lozano +1
This paper shows how the Bayesian network paradigm can be used in order to solve combinatorial optimization problems. To do it some methods of structure learning from data and simu…
cs.AI2012
Reading Dependencies from Polytree-Like Bayesian Networks
Jose M. Pena
We present a graphical criterion for reading dependencies from the minimal directed independence map G of a graphoid p when G is a polytree and p satisfies composition and weak tra…