Jose M Pena
Senior Associate Professor, Head of Unit
I am interested in learning from data within machine learning, artificial intelligence and statistics. I'm particularly interested in learning and reasoning with probabilistic graphical models such as; Bayesian networks, Markov networks, chain graphs
Publications
2025
Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding
CAUSAL LEARNING AND REASONING, p. 693-703
(Conference paper)
Sensitivity Analysis to Unobserved Confounding with Copula-Based Normalizing Flows
International Journal of Approximate Reasoning, Vol. 187, Article 109531
(Article in journal)
https://dx.doi.org/10.1016/j.ijar.2025.109531
Deep Learning With DAGs
Sociological Methods & Research, Vol. 54, p. 1624-1682
(Article in journal)
https://dx.doi.org/10.1177/00491241251319291
2024
Alternative Measures of Direct and Indirect Effects
INTERNATIONAL CONFERENCE ON PROBABILISTIC GRAPHICAL MODELS
(Conference paper)
ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
12th International Conference on Probabilistic Graphical Models, p. 20-37
(Conference paper)