Peña, José M.

23 publications

PGM 2024 $ρ$-GNF: A Copula-Based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows Sourabh Balgi, Jose M. Peña, Adel Daoud

PGM 2024 Alternative Measures of Direct and Indirect Effects Jose M. Peña

PGM 2024 Counterfactually-Equivalent Structural Causal Modelling Using Causal Graphical Normalizing Flows Sourabh Balgi, Jose M. Peña, Adel Daoud

AAAI 2022 Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows Sourabh Balgi, José M. Peña, Adel Daoud

UAI 2018 Identification of Strong Edges in AMP Chain Graphs Jose M. Peña

PGM 2018 Unifying DAGs and UGs Jose M. Peña

UAI 2016 Alternative Markov and Causal Properties for Acyclic Directed Mixed Graphs José M. Peña

PGM 2016 Learning Acyclic Directed Mixed Graphs from Observations and Interventions Jose M. Peña

UAI 2015 Learning Optimal Chain Graphs with Answer Set Programming Dag Sonntag, Matti Järvisalo, José M. Peña, Antti Hyttinen

AISTATS 2014 An Inclusion Optimal Algorithm for Chain Graph Structure Learning José M. Peña, Dag Sonntag, Jens Dalgaard Nielsen

AISTATS 2011 Faithfulness in Chain Graphs: The Gaussian Case Jose M. Peña

JAIR 2011 Finding Consensus Bayesian Network Structures José M. Peña

JMLR 2009 An Algorithm for Reading Dependencies from the Minimal Undirected Independence mAP of a Graphoid That Satisfies Weak Transitivity Jose M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér

AISTATS 2007 Approximate Counting of Graphical Models via MCMC Jose M. Peña

JMLR 2007 Consistent Feature Selection for Pattern Recognition in Polynomial Time Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér

UAI 2007 Reading Dependencies from Polytree-like Bayesian Networks José M. Peña

ECML-PKDD 2006 Evaluating Feature Selection for SVMs in High Dimensions Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér

UAI 2006 Identifying the Relevant Nodes Without Learning the Model José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér

MLJ 2005 Editorial Pedro Larrañaga, José Antonio Lozano, José M. Peña, Iñaki Inza

UAI 2003 On Local Optima in Learning Bayesian Networks Jens Dalgaard Nielsen, Tomás Kocka, José M. Peña

MLJ 2002 Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction José M. Peña, José Antonio Lozano, Pedro Larrañaga

AISTATS 2001 Geographical Clustering of Cancer Incidence by Means of Bayesian Networks and Conditional Gaussian Networks José M. Peña, I. Izarzugaza, José Antonio Lozano, E. Aldasoro, Pedro Larrañaga

UAI 2000 Combinatonal Optimization by Learning and Simulation of Bayesian Networks Pedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José M. Peña