Dr. Alexander Munteanu

Address: Dekanat Statistik - Dortmund Data Science Center
Technische Universität Dortmund
Vogelpothsweg 87
44227 Dortmund
Office: Mathematics Building, Room E16b
E-mail: alexander.munteanutu-dortmund.de
Phone: +49 (0)231 755-7885
Fax: +49 (0)231 755-5303

Research Interests: I am mainly interested in the design and analysis of algorithms for tackling the challenges of massive data.
This particularly involves several fields of research such as streaming and distributed algorithms, randomized linear algebra,
machine learning, computational statistics, computational geometry, convex optimization.
I am also interested in cooperating on possible applications.


Conference Articles

  • Stefan Meintrup, Alexander Munteanu, Dennis Rohde.
    Random projections and sampling algorithms for clustering of high-dimensional polygonal curves.
    Advances in Neural Information Processing Systems (NeurIPS), 2019.

  • Alexander Munteanu, Amin Nayebi, Matthias Poloczek.
    A Framework for Bayesian optimization in embedded subspaces.
    International Conference on Machine Learning (ICML), 2019.

  • Amer Krivosija, Alexander Munteanu.
    Probabilistic smallest enclosing ball in high dimensions via subgradient sampling.
    Symposium on Computational Geometry (SoCG), 2019.
    European Workshop on Computational Geometry (EuroCG), 2019.

  • Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David Woodruff.
    On coresets for logistic regression.
    Advances in Neural Information Processing Systems (NeurIPS), 2018.

  • Kristian Kersting, Alejandro Molina, Alexander Munteanu.
    Core dependency networks.
    AAAI Conference on Artificial Intelligence (AAAI), 2018.

  • Dan Feldman, Alexander Munteanu, Christian Sohler.
    Smallest enclosing ball for probabilistic data.
    Symposium on Computational Geometry (SoCG), 2014.

Journal Articles

  • Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Christian Sohler.
    Streaming statistical models via Merge & Reduce.
    to appear, 2020.

  • Alexander Munteanu, Chris Schwiegelshohn.
    Coresets - methods and history: a theoreticians design pattern for approximation and streaming algorithms.
    KI special issue on "Algorithmic Challenges and Opportunities of Big Data", 32(1):37-53, 2018.

  • Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Jens Quedenfeld, Christian Sohler.
    Random projections for Bayesian regression.
    Statistics and Computing, 27(1):79-101, 2017.

  • Alexander Munteanu, Max Wornowizki.
    Correcting statistical models via empirical distribution functions.
    Computational Statistics, 31(2):465-495, 2016.

Technical Reports

  • Marc Heinrich, Alexander Munteanu, Christian Sohler.
    Asymptotically exact streaming algorithms.
    ArXiv preprint, CoRR abs/1408.1847, 2014.



  • Summer 20: Colloquium of the Dortmund Data Science Center

  • Winter 19/20: Seminar "Foundations of Data Science" & Colloquium of the Dortmund Data Science Center

  • Summer 19: Colloquium of the Dortmund Data Science Center

  • Winter 18/19: Substitute for the seminar "Algorithmen zur präferenzbasierten Entscheidungsfindung"