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Results: 49
Number of items: 49
  • Open Access
    Fokkema, H. (2026). Mathematical foundations of explainable AI and advances in bandit optimisation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Yuen, T. P. (2026). Statistical inference for cure models under monotonicity constraints. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Pandeva, T., Jonker, M. J., Hamoen, L., Mooij, J. M., & Forré, P. (2025). Robust Multi-view Co-expression Network Inference. Proceedings of Machine Learning Research, 275, 490-513. https://proceedings.mlr.press/v275/pandeva25a.html
  • Open Access
    Pandeva, T. P. (2025). Machine learning for multi-source data integration. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bhadane, S., Mooij, J. M., Boeken, P., & Zoeter, O. (2025). Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses. Proceedings of Machine Learning Research, 286, 271-295. https://proceedings.mlr.press/v286/bhadane25a.html
  • Open Access
    Yao, B., & Mooij, J. M. (2025). σ-Maximal Ancestral Graphs. Proceedings of Machine Learning Research, 286, 4775-4805. https://proceedings.mlr.press/v286/yao25a.html
  • Open Access
    Boeken, P., Zoeter, O., & Mooij, J. M. (2024). Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift. Proceedings of Machine Learning Research, 236, 551-569. https://proceedings.mlr.press/v236/boeken24a.html
  • Open Access
    Kiyavash, N., & Mooij, J. M. (2024). Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence: Preface. Proceedings of Machine Learning Research, 244, i-xi. https://proceedings.mlr.press/v244/kiyavash24a.html
  • Open Access
    Blom, T., & Mooij, J. M. (2023). Causality and independence in perfectly adapted dynamical systems. Journal of Causal Inference, 11(1), Article 20210005. https://doi.org/10.1515/jci-2021-0005
  • Open Access
    Claassen, T., & Mooij, J. M. (2023). Establishing Markov Equivalence in Cyclic Directed Graphs. Proceedings of Machine Learning Research, 216, 433-442. https://doi.org/10.48550/arXiv.2309.03092
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