Marvin Wright

Marvin Wright

wright@leibniz-bips.de
Institution: Leibniz Institute for Prevention Research and Epidemiology - BIPS / University of Bremen
Department: Emmy Noether Junior Research Group "Beyond Prediction - Statistical Inference with Machine Learning"
Position: Group Leader

Statistical machine learning, explainable AI

  • Feature Selection (2024)

    Authors: Marvin N. Wright

    Published at: Applied Machine Learning Using mlr3 in R
    DOI: 10.1201/9781003402848-6

  • Model Interpretation (2024)

    Authors: Susanne Dandl, Przemysław Biecek, Giuseppe Casalicchio, Marvin N. Wright

    Published at: Applied Machine Learning Using mlr3 in R
    DOI: 10.1201/9781003402848-12

  • survex: an R package for explaining machine learning survival models (2023)

    Authors: Mikołaj Spytek, Mateusz Krzyziński, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemysław Biecek

    Published at: Bioinformatics (Volume: 39)
    DOI: 10.1093/bioinformatics/btad723

  • Genetic associations vary across the spectrum of fasting serum insulin: results from the European IDEFICS/I.Family children’s cohort (2023)

    Authors: Kirsten Mehlig, Ronja Foraita, Rajini Nagrani, Marvin N. Wright, Stefaan De Henauw, Dénes Molnár, Luis A. Moreno, Paola Russo, Michael Tornaritis, Toomas Veidebaum, Lauren Lissner, Jaakko Kaprio, Iris Pigeot

    Published at: Diabetologia (Volume: 66)
    DOI: 10.1007/s00125-023-05957-w

  • Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process (2023)

    Authors: Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl

    Published at: Communications in Computer and Information Science (Volume: 1901 CCIS)
    DOI: 10.1007/978-3-031-44064-9_24

  • Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values (2023)

    Authors: Kristin Blesch, Marvin N. Wright, David Watson

    Published at: Communications in Computer and Information Science (Volume: 1901 CCIS)
    DOI: 10.1007/978-3-031-44064-9_8

  • Adversarial Random Forests for Density Estimation and Generative Modeling (2023)

    Authors: David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright

    Published at: Proceedings of Machine Learning Research (Volume: 206)

  • Unifying local and global model explanations by functional decomposition of low dimensional structures (2023)

    Authors: Munir Hiabu, Joseph T. Meyer, Marvin N. Wright

    Published at: Proceedings of Machine Learning Research (Volume: 206)

  • Conditional feature importance for mixed data (2023)

    Authors: Kristin Blesch, David S. Watson, Marvin N. Wright

    Published at: AStA Advances in Statistical Analysis
    DOI: 10.1007/s10182-023-00477-9

  • Are SHAP Values Biased Towards High-Entropy Features? (2023)

    Authors: Raphael Baudeu, Marvin N. Wright, Markus Loecher

    Published at: Communications in Computer and Information Science (Volume: 1752 CCIS)
    DOI: 10.1007/978-3-031-23618-1_28