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

2024

Jose M Pena (2024) Alternative Measures of Direct and Indirect Effects INTERNATIONAL CONFERENCE ON PROBABILISTIC GRAPHICAL MODELS (Conference paper)

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)

About the division

The Division of Statistics and Machine Learning (STIMA)

The STIMA division is part of the Department of Computer and Information Science. The research and teaching activities are focused on modern data analysis and the division hosts the international master's programme in Statistics and Machine Learning.

Colleagues at STIMA

Senior Associate Professor

Filip Ekström Kelvinius

PhD student

Hariprasath Govindarajan

Anders Grimvall

Ann-Charlotte Hallberg

Woodrow Hao Chi Kiang

Senior Associate Professor, Head of Division

Professor, Head of Unit

Shashi Nagarajan

Anders Nordgaard

Adjunct Associate Professor, Docent

Jolanta Pielaszkiewicz

Senior Associate Professor

Associate Professor, Docent

Zheng Zhao

Assistant Professor

About the department

Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

Jose M Pena

Publications

2024

2023

About the division

The Division of Statistics and Machine Learning (STIMA)

Colleagues at STIMA

About the department

Department of Computer and Information Science (IDA)

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