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Dag Sonntag

Dag Sonntag

PhD Student in Computer Science (Doktorand i Datalogi)
Master in Computer Science (Civilingenjör i Datalogi)
Primary Supervisor: Associate Professor Jose M. Peña
Secondary Supervisor: Professor Nahid Shahmehri
Building B, Room 2B:440
Division for Database and Information Techniques
Department of Computer and Information Science
Linköping University
58183 Linköping, Sweden
dag.sonntag@liu.se

Research

I am interested in model creation with different machine learning techniques. I am particularly interested in probabilistic graphical models such as Bayesian networks, Markov networks and chain graphs.

Publications

  • Sonntag, D. On Expressiveness of the AMP Chain Graph Interpretation. In Proceedings of the 7th European Workshop on Probabilistic Graphical Models (PGM 2014) – Lecture Notes in Artificial Intelligence 8754, 382-395. Extended Version.
  • Sonntag, D., Peña, J. M. and Gómez-Olmedo, M. (2014). Approximate Counting of Graphical Models Via MCMC Revisited. International Journal of Intelligent Systems, accepted.
  • Sonntag, D. (2014). A Study of Chain Graph Interpretations. Licentiate Thesis.
  • Peña, J. M., Sonntag, D. and Nielsen, J. D. (2014). An Inclusion Optimal Algorithm for Chain Graph Structure Learning. In Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS 2014), 778-786. Supplement.
  • Sonntag, D. and Peña, J. M. (2013). Chain Graph Interpretations and their Relations. In Proceedings of the 12th European Conference on Symbolic and Quantitative Approaches to Reasoning under Uncertainty (ECSQARU 2013) – Lecture Notes in Artificial Intelligence 7958, 510-521. Best student paper award (ex-aequo). Extended version.
  • Sonntag, D. and Peña, J. M. (2012). Learning Multivariate Regression Chain Graphs under Faithfulness. In Proceedings of the 6th European Workshop on Probabilistic Graphical Models, 299-306. Appendix.

Page responsible: Dag Sonntag
Last updated: 2014-11-03