50 Jahre Uni Lübeck

Dr. Benito Bela van der Zander

Forschung


Forschungsinteressen

Veröffentlichungen

2024

  • Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz:
    Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs.
    In AAAI Conference on Artificial Intelligence (AAAI 2024), S. 20577-20584. , 2024.
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2023

  • Benito van der Zander, Markus Bläser, Maciej Liskiewicz:
    The hardness of reasoning about probabilities and causality.
    In International Joint Conference on Artificial Intelligence (IJCAI 2023), S. 5730. , 2023.
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2022

  • Benito van der Zander, Marcel Wienöbst, Markus Bläser, Maciej Liskiewicz:
    Identification in Tree-shaped Linear Structural Causal Models.
    In Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, S. 6770-6792. PLMR, 2022.
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2019

  • Benito van der Zander, Maciej Liskiewicz:
    Finding minimal d-separators in linear time and applications.
    In Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI'19), AUAI Press, 2019.
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  • Benito van der Zander, Maciej Liskiewicz, Johannes Textor:
    Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework.
    Artificial Intelligence, Vol. 270, Pages 1-40, (270):1-40, 2019.
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2018

  • Benito van der Zander, Maciej Liskiewicz, Johannes Textor:
    Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework.
    Technischer Bericht arXiv:1803.00116 (2018), arXiv preprint, 2018.
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2016

  • Johannes Textor, Benito van der Zander, Mark S. Gilthorpe, Maciej Liskiewicz, George T.H. Ellison:
    Robust causal inference using Directed Acyclic Graphs: the R package ’dagitty’.
    International Journal of Epidemiology, 6(45):1887-1894, 2016.
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  • Benito Van der Zander, Maciej Liskiewicz:
    On Searching for Generalized Instrumental Variables.
    In Proceedings of the The 19th International Conference on Artificial Intelligence and Statistics (AISTATS'16), S. 1214-1222. JMLR Proceedings, 2016.
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  • Benito van der Zander, Maciej Liskiewicz:
    Separators and Adjustment Sets in Markov Equivalent DAGs.
    In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, Arizona USA, S. 3315-3321. AAAI Press, 2016.
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2015

  • Benito van der Zander, Johannes Textor, Maciej Liskiewicz:
    Efficiently Finding Conditional Instruments for Causal Inference.
    In IJCAI 2015, Proceedings of the 24th International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, July 25-31, 2015, S. 3243-3249. AAAI Press / International Joint Conferences on Artificial Intelligence, 2015.
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2014

  • Benito van der Zander, Johannes Textor, Maciej Liskiewicz:
    Constructing Separators and Adjustment Sets in Ancestral Graphs.
    In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI'14), Quebec, Canada, S. 907-916. AUAI Press, 2014.
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  • Benito van der Zander:
    Extending XQuery with pattern matching over XML, HTML and JSON, and its usage for data mining..
    In Proceedings of Balisage: The Markup Conference, , 2014.
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