Leader: Teemu Roos
The Information, Complexity and Learning (ICL) research group is a part of the Cosco research group and studies the theory and applications of probabilistic models, especially graphical models. A particular area of interest is information theoretic methods. Application domains where we have continued collaboration include human–computer interaction, digital humanities, and bioinformatics.
News and Events (see also Cosco News on the right)
- Teemu Pitkänen moves to Google Research Europe in Zürich. We wish Teemu good luck!
- 3/2017: Teemu Roos teaches at the 21st CIMO Winter School, Tvärminne Zoological Station, Finland
- March 3rd, 2017: Yuan Zou defended her doctoral thesis on "Model Selection for Bayesian Networks and Sparse Logistic Regression". Congratulations to Yuan!
- 2/2017: Teemu Roos gives a talk at the Workshop on Mathematical Approaches to Evolutionary Trees and Networks in Banff, Canada. Video available.
- 10/2016: Joonas Miettinen joins the group as a PhD student supervised by Teemu Roos and Janne Pitkäniemi (Finnish Cancer Registry). Welcome Joonas!
- Former ICL postdoc Sotiris Tasoulis is a co-chair of the 2nd Workshop on Advances in High Dimensional Big Data on December 5-8, 2016.
- Teemu Roos gives talks at the University of Melbourne (details) on October 6, 2016 and Monash University on October 12, 2016.
- "Minimum Description Length Principle" by Teemu Roos appears in the Encyclopedia of Machine Learning and Data Mining.
- We are organizing the 9th Workshop on Information Theoretic Methods in Science and Engineering (WITMSE-2016) in Helsinki on September 19-21, 2016.
- May 27th 2016: Jussi Määttä will defend his PhD thesis "Model selection methods for linear regression and phylogenetic reconstruction" (2pm, Exactum B123).
- May 17th 2016: Teemu Roos gives a talk on "Directed acyclic graphs as a model for biological and cultural evolution" at Purdue University, USA.
- April 24th 2016: Teemu Roos gives a talk on "Machine learning and the evolution of fairy tales" in the Informatics Colloquium at the Martin Luther University, Halle, Germany.
- Beenish Qaiser begins PhD studies at FIMM co-supervised by Teemu Roos. Welcome Beenish!
- Summer 2016 internship to Elias Jääsaari. Welcome Elias!
- Papers accepted to PLOS ONE, IEEE Transactions on Big Data, and EuroVis 2016 conference.
- Ville Hyvönen joins the group as a PhD student under the Scalable Probabilistic Analysis project. Welcome Ville!
- The paper "Sparse Logistic Regression with Logical Features" by Yuan Zou and Teemu Roos was accepted in Proc. 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2016)
- "Robust Sequential Prediction in Linear Regression with Student’s t-distribution" by J. Määttä and T. Roos was accepted to the 14th International Symposium on Artificial Intelligence and Mathematics (ISAIM 2016).
- "Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data" by Eggeling, Roos, Myllymäki, and Grosse accepted to BMC Bioinformatics.
- The paper "On Model Selection, Bayesian Networks, and the Fisher Information Integral" by Yuan Zou and Teemu Roos was accepted in Proc. 2nd Workshop on Advanced Methodologies for Bayesian Networks (AMBN-2015).
- ICL group well represented at COIN highlight event: 2nd prize in video contest to Teemu Pitkänen and Ville Hyvönen (watch), other videos by Yuan Zou (watch) and Janne Leppä-aho (watch), and a poster by Jussi Määttä.
- Janne Leppä-aho to visit the Statistics Dept at UC Berkeley in October-December 2015.
- The paper "Subset Selection in Linear Regression using Sequentially Normalized Least Squares: Asymptotic Theory" by Jussi Määttä, Daniel F. Schmidt, and Teemu Roos was accepted to Scandinavian Journal of Statistics.
- Nicos Pavlidis and David Hofmeyer from Lancaster University and Spiros Georgakopoulos from the University of Thessaly visit our group in June 2015.
- Teemu Roos gives a talk in the Statistics and Operations Research Center (STOR-i) seminar at Lancaster University on May 21, 2015. Event info.
- Quan (Eric) Nguyen visits the Computational Biology Laboratory at University of East Anglia, Norwich, UK on April 20–30, 2015.
- Teemu Roos was an instructor at a COST Training School on "Tools and Techniques for Dealing with Complicated Textual Traditions" in Rome, 23–25 March, 2015.
- Teemu Roos will present talks at the 2015 Science Forum (Tieteen päivät) on Jan 10, 2015 – Session "Sattuman matematiikka" ("Mathematics of Chance"); E-Philology Lecture Series at Sorbonne University on Jan 12, 2015; and at the 2015 Information Theory and Applications workshop (ITA-2015) in San Diego on Feb 5, 2015.
- Janne Leppä-aho was one of two applicants, out of more than 130, who were awarded a four-year PhD scholarship by the DoCS graduate school. Congratulations to Janne!
Jorma Rissanen, DSc
Past members & alumni
Yuan Zou (PhD 2017)
Recent Papers and Preprints
V. Hyvönen, T. Pitkänen, S. Tasoulis, E. Jääsaari, R. Tuomainen, L. Wang, J. Corander, and T. Roos. Fast nearest neighbor search through sparse random projections and voting, 2016 IEEE International Conference on Big Data (IEEE Big-Data 2016), Washington DC, Dec. 5–8. C++ library (with Python bindings) | benchmarks
Y. Zou and T. Roos (2017). On model selection, Bayesian networks, and the Fisher information integral, New Generation Computing, 35(1) (Special Issue on AMBN 2015), January 2017.
T. Heikkilä and T. Roos, (2016). Thematic Section on Studia Stemmatologica, Digital Scholarship in the Humanities 31(3):520–522, doi:10.1093/llc/fqw038.
J. Leppä-aho, J. Pensar, T. Roos, and J. Corander (2017). Learning Gaussian graphical models with fractional marginal pseudo-likelihood, International Journal of Approximate Reasoning, arXiv:1602.07863
L. Wang, S. Tasoulis, T. Roos, and J. Kangasharju (2016). Kvasir: Scalable provision of semantically relevant web content on big data framework, IEEE Transactions on Big Data.
Y. Zhao, S. Tasoulis, and T. Roos (2016). Manifold visualization via short walks, EuroVis-2016.
J. Määttä and T. Roos (2016). Maximum parsimony and the skewness test: A simulation study of the limits of applicability, PLOS ONE 11(4):e0152656.
J. Määttä and T. Roos (2016). Robust Sequential Prediction in Linear Regression with Student’s t-distribution, in Proc. 14th International Symposium on Artificial Intelligence and Mathematics (ISAIM 2016).
R. Eggeling, T. Roos, P. Myllymäki, and I. Grosse (2015). Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data, BMC Bioinformatics.
Y. Zou and T. Roos (2015). On model selection, Bayesian networks, and the Fisher information integral, in Proc. 2nd Workshop on Advanced Methodologies for Bayesian Networks (AMBN-2015).
J. Määttä, D. F. Schmidt, and T. Roos, (2015). Subset Selection in Linear Regression using Sequentially Normalized Least Squares: Asymptotic Theory, Scandinavian Journal of Statistics.
J. Tehrani, Q. Nguyen, and T. Roos, (2015). Oral fairy tale or literary fake? Investigating the origins of Little Red Riding Hood using phylogenetic network analysis, Digital Scholarship in the Humanities.
Q. Nguyen and T. Roos, (2015). Likelihood-based inference of phylogenetic networks from sequence data by PhyloDAG, in Proc. 2nd International Conference on Algorithms for Computational Biology (AlCoB-2015).
K. Watanabe abd T. Roos, (2015). Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies, JMLR.
Last updated on 27 Mar 2017 by Teemu Roos - Page created on 6 Sep 2012 by Petri Myllymäki