Niklas Andreas Pfister

Niklas Andreas Pfister

Assistant professor, tenure track, Associate Professor

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    Publication year:
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    1 - 10 out of 11Page size: 10
    1. 2023
    2. Published

      Invariant Policy Learning: A Causal Perspective

      Saengkyongam, S., Thams, Nikolaj Theodor Birkmose, Peters, J. & Pfister, Niklas Andreas, 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 7, p. 8606-8620 15 p.

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

    3. Published

      Statistical testing under distributional shifts

      Thams, Nikolaj Theodor Birkmose, Saengkyongam, S., Pfister, Niklas Andreas & Peters, J., 2023, In: Journal of the Royal Statistical Society, Series B (Statistical Methodology). 85, 3, p. 597-663

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

    4. Published

      Supervised learning and model analysis with compositional data

      hrt620, hrt620, Ailer, E., Kilbertus, N. & Pfister, Niklas Andreas, 2023, In: PLOS Computational Biology. 19, 6, e1011240.

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

    5. 2022
    6. 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

    7. 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

    8. Published

      Multiomic profiling of the liver across diets and age in a diverse mouse population

      Williams, E. G., Pfister, Niklas Andreas, Roy, S., Statzer, C., Haverty, J., Ingels, J., Bohl, C., Hasan, M., Čuklina, J., Bühlmann, P., Zamboni, N., Lu, L., Ewald, C. Y., Williams, R. W. & Aebersold, R., 2022, In: Cell Systems. 13, 1, p. 43-57, e1-6

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

    9. 2021
    10. Published

      Stabilizing variable selection and regression

      Pfister, Niklas Andreas, Williams, E. G., Peters, J., Aebersold, R. & Bühlmann, P., 2021, In: Annals of Applied Statistics. 15, 3, p. 1220-1246

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

    11. 2019
    12. Published

      Invariant Causal Prediction for Sequential Data

      Pfister, Niklas Andreas, Bühlmann, P. & Peters, J., 2019, In: Journal of the American Statistical Association. 114, 527, p. 1264-1276 13 p.

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

    13. Published

      Learning stable and predictive structures in kinetic systems

      Pfister, Niklas Andreas, Bauer, S. & Peters, J., 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 51, p. 25405-25411

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

    14. Published

      Robustifying independent component analysis by adjusting for group-wise stationary noise

      Pfister, Niklas Andreas, Weichwald, Sebastian, Bühlmann, P. & Schölkopf, B., 2019, In: Journal of Machine Learning Research. 20, 50 p., 147.

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

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