Niklas Andreas Pfister

Niklas Andreas Pfister

Assistant professor, tenure track, Associate Professor

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    1. Published

      Interpreting tree ensemble machine learning models with endoR

      Ruaud, A., Pfister, Niklas Andreas, Ley, R. E. & Youngblut, N. D., 2022, In: PLOS Computational Biology. 18, 12, 39 p., e1010714.

      Research output: Contribution to journal › Journal article › Research › peer-review

    2. Published

      Identifiability of Sparse Causal Effects using Instrumental Variables

      Pfister, Niklas Andreas & Peters, J., 2022, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence. PMLR, p. 1613-1622 10 p. (Proceedings of Machine Learning Research, Vol. 180).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    3. Published

      A Causal Framework for Distribution Generalization

      Christiansen, R., Pfister, Niklas Andreas, Emil Jakobsen, M., Gnecco, N. & Peters, J. M., 2022, In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 44, 10, p. 6614-6630 17 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

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