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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, 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. 1-36
Jose M Pena (2023) Bounding the probabilities of benefit and harm through sensitivity parameters and proxies Journal of Causal Inference, Vol. 11, Article 20230012 Continue to DOI

2022

Erin E. Gabriel, Jose M Pena, Arvid Sjolander (2022) Bias attenuation results for dichotomization of a continuous confounder Journal of Causal Inference, Vol. 10, p. 515-526 Continue to DOI
Sourabh Balgi, Jose M. Peña, Adel Daoud (2022) Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence: AAAI Special Track on AI for Social Impact, p. 11810-11818, Article 21437 Continue to DOI

About the division

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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

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Amirhossein Ahmadian
PhD student
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Johan Alenlöv
Lecturer
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Sourabh Balgi
Photo of Krzysztof Bartoszek
Krzysztof Bartoszek
Senior Associate Professor
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Jonas Bjermo
Postdoc
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Bayu Brahmantio
PhD student
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Gabriel Ducrocq
Postdoc
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Filip Ekström Kelvinius
PhD student
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Hariprasath Govindarajan
Anders Grimvall
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Ann-Charlotte Hallberg
Lecturer
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Isak Hietala
Lecturer
Woodrow Hao Chi Kiang
PhD student
Camilla Kirkegaard
Research Engineer
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Fredrik Lindsten
Senior Associate Professor, Head of Division
Samuel Matthiesen
Postdoc
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Frank Miller
Professor, Head of Unit
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Shashi Nagarajan
Anders Nordgaard
Adjunct Associate Professor, Docent
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Amanda Olmin
PhD student
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Joel Oskarsson
PhD student
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Jolanta Pielaszkiewicz
Associate Professor
Dong Qian
Postdoc
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Héctor Rodriguez Déniz
Lecturer
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Oleg Sysoev
Senior Associate Professor
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Annika Tillander
Associate Professor
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Bertil Wegmann
Associate Professor
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Josef Wilzén
Lecturer
Linda Wänström
Associate Professor, Docent

About the department

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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.

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