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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

Presentation

Publications

2024

Sourabh Balgi, Jose M. Peña, Adel Daoud (2024) 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)
Sourabh Balgi, Jose M. Peña, Adel Daoud (2024) Counterfactually-Equivalent Structural Causal Modelling Using Causal Graphical Normalizing Flows 12th International Conference on Probabilistic Graphical Models, p. 164-181 (Conference paper)
Sourabh Balgi, Adel Daoud, Jose M. Peña, Geoffrey Wodtke, Jesse Zhou (2024) Deep Learning With DAGs

2023

Jose M. Peña (2023) Factorization of the Partial Covariance in Singly-Connected Path Diagrams Proceedings of Machine Learning Research, p. 814-849 (Conference paper)
Jose M Pena (2023) Bounding the probabilities of benefit and harm through sensitivity parameters and proxies Journal of Causal Inference, Vol. 11, Article 20230012 (Article in journal) Continue to DOI

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Colleagues at STIMA

About the department