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Dr. Alexander Munteanu


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


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.


Publications

Conference Articles

  • 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

  • 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.
     

Theses