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Dr. Alain Hauser
Duties
Research interests
- Causal inference
- Theory of graphical models
- Graph algorithms
- Biostatistical applications of graphical models
Publications (till June 2013)
Journal publications
- Characterization and greedy learning of interventional Markov equivalence classes of directed acyclic graphs [bib] [abstract] [pdf] JMLR
Alain Hauser, Peter Bühlmann
Journal of Machine Learning Research, 13:2409-2464, 2012
- Repeat or not repeat?—Statistical validation of tandem repeat prediction in genomic sequences [bib] @ Oxford University Press
Elke Schaper, Andrey V. Kajava, Alain Hauser, Maria Anisimova
Nucleic Acids Research, doi:10.1093/nar/gks726, 2012
Conference publications
- Two optimal strategies for active learning of causal models from interventions
[bib] [pdf] arxiv
Alain Hauser, Peter Bühlmann
Proceedings of the 6th European Workshop on Probabilistic Graphical Models (PGM-2012), pp. 123--130, 2012.
- Experimental evaluation of approximation and heuristic algorithms for sorting railway cars [bib] [pdf] © Springer (2010)
Alain Hauser, Jens Maue
Proceedings of the 9th International Symposium on Experimental Algorithms (SEA-10), LNCS 6049, 154--165, Springer, 2010.
Talks and Posters
- Learning causal models from interventions: inference and active learning [contributed talk]
Alain Hauser
Statistics for Complex Networks: Theory and Applications, Eindhoven, The Netherlands, February 01, 2013
- Causal inference from interventional data [contributed talk]
Alain Hauser
8th World Congress in Probability and Statistics, Istanbul, Turkey, July 09, 2012
- Causal inference from interventional data [invited talk]
Alain Hauser
Institut für Medizinische Statistik, Medizinische Universität Wien, Austria, January 17, 2012
- Characterization and greedy learning of interventional Markov equivalence classes of directed acyclic graphs [Poster]
Alain Hauser, Peter Bühlmann
27th Conference on Uncertainty in Artificial Intelligence (UAI2011), Barcelona, Spain, July 14 - 17, 2011
- Modeling and learning causal relationship in biological systems [invited talk]
Alain Hauser
Seminar in Biomathematics, Department of Mathematics, ETH Zürich, May 24, 2011
PhD Thesis
Teaching
Supervised Theses
- Learning causal models from binary interventional data [abstract] [pdf]
Alexandros Gekenidis
Master thesis, March 2012
Lecture Assistance
- Statistik und Wahrscheinlichkeitsrechnung, spring semester 2013
- Biostatistics, automn semester 2012
- Computational Statistics, spring semester 2012
- Applied Time Series Analysis, spring semester 2011
- Statistik (für Biologie und pharmazeutische Wissenschaften), automn semester 2010
- Computational Statistics, spring semester 2010
- Analysis II (für Mathematik und Physik), spring semester 2009
- Analysis I (für Mathematik und Physik), automn semester 2008
- Analysis I (für Mathematik und Physik), automn semester 2007
- Analysis I (für Mathematik und Physik), winter semester 2006
- Analysis II (für Maschinenbau und Verfahrenstechnik), summer semester 2003
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