Pekka Parviainen

Associate Professor, PhD

Office:: Room 407P1 in Datablokken of Høyteknologisenteret,
Thormøhlens gate 55, Bergen
Postal Address:: Department of Informatics
University of Bergen,
P.O. Box 7803,
5020 Bergen, Norway
Email:: firstname.lastname@uib.no

About Me

I am an associate professor in the Machine Learning group at the Department of Informatics, University of Bergen. Most of my research is related to probabilistic models.

Publications

Refereed publications

Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, and Samuel Kaski: Distributed Bayesian matrix factorization with limited communication. Machine Learning, 2019.
Pekka Parviainen and Samuel Kaski: Learning structures of Bayesian networks for variable groups. International Journal of Approximate Reasoning 88:110-127, 2017.
Pekka Parviainen and Samuel Kaski: Bayesian Networks for Variable Groups. JMLR Workshop and Conference Proceedings Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models (PGM 2016).
Teppo Niinimäki, Pekka Parviainen, and Mikko Koivisto: Structure Discovery in Bayesian Networks by Sampling Partial Orders. Journal of Machine Learning Research 17(57):1-47, 2016.
Andreas Björklund, Thore Husfeldt, Petteri Kaski, Mikko Koivisto, Jesper Nederlof, and Pekka Parviainen: Fast zeta transforms for lattices with few irreducibles. ACM Transactions on Algorithms (TALG) 12(1), 2015.
Janne H. Korhonen and Pekka Parviainen: Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number. Advances in Neural Information Processing Systems 28 (NIPS 2015).
Ikram Ullah, Pekka Parviainen, and Jens Lagergren: Species Tree Inference Using a Mixture Model. Molecular Biology and Evolution 32(9):2469-2482, 2015.
Pekka Parviainen, Hossein Shahrabi Farahani, and Jens Lagergren: Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming. 17th International Conference on Artificial Intelligence and Statistics (AISTATS 2014).
Pekka Parviainen and Mikko Koivisto: Finding Optimal Bayesian Networks Using Precedence Constraints. Journal of Machine Learning Research 14(May):1387-1415, 2013.
Janne H. Korhonen and Pekka Parviainen: Exact Learning of Bounded Tree-width Bayesian Networks. 16th International Conference on Artificial Intelligence and Statistics (AISTATS 2013).
Jaana Wessman, Stefan Schönauer, Jouko Miettunen, Hannu Turunen, Pekka Parviainen, Jouni K. Seppänen, Eliza Congdon, Susan Service, Markku Koiranen, Jesper Ekelund, Jaana Laitinen, Anja Taanila, Tuija Tammelin, Mirka Hintsanen, Laura Pulkki-Råback, Liisa Keltikangas-Järvinen, Jorma Viikari, Olli T. Raitakari, Matti Joukamaa, Marjo-Riitta Järvelin, Nelson Freimer, Leena Peltonen, Juha Veijola, Heikki Mannila, and Tiina Paunio: Temperament Clusters in a Normal Population: Implications for Health and Disease. PLoS ONE 7(7), 2012.
Teppo Niinimäki and Pekka Parviainen: Local Structure Discovery in Bayesian Networks. 28th Conference on Uncertainty in Artificial Intelligence (UAI 2012).
Andreas Björklund, Thore Husfeldt, Petteri Kaski, Mikko Koivisto, Jesper Nederlof, and Pekka Parviainen: Fast zeta transforms for lattices with few irreducibles. 23rd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2012).
Pekka Parviainen and Mikko Koivisto: Ancestor relations in the presence of unobserved variables. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011).
Teppo Niinimäki, Pekka Parviainen, and Mikko Koivisto: Partial order MCMC for structure discovery in Bayesian networks . 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011).
Pekka Parviainen and Mikko Koivisto: Bayesian structure discovery in Bayesian networks with less space. 13th International Conference on Artificial Intelligence and Statistics (AISTATS 2010). Errata
Mikko Koivisto and Pekka Parviainen: A space-time tradeoff for permutation problems. 21st Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2010).
Pekka Parviainen and Mikko Koivisto: Exact structure discovery in Bayesian networks with less space. Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009). (The runner up for the Best Student Paper Award.) Errata

Workshop publications

Indrė Žliobaitė, Michael Mathioudakis, Tuukka Lehtiniemi, Pekka Parviainen, and Tomi Janhunen: Accessibility by public transport predicts residential real estate prices: a case study in Helsinki region. Proceedings of the 2nd workshop on Mining Urban Data (MUD2), 2015.

Theses

Pekka Parviainen: Algorithms for Exact Structure Discovery in Bayesian Networks. Department of Computer Science, University of Helsinki, A-2012-1. PhD thesis, 2012.

Pekka Parviainen: Bayesilaiset päätöspuut ja tautigeenien paikantaminen. Department of Computer Science, University of Helsinki, Report C-2007-59. M.Sc. thesis (in Finnish), 2007.

Teaching

Currently I am responsible for the following course:

INF264 Introduction to machine learning (Fall)