Jonas Martin Peters

Jonas Martin Peters

Professor

ORCID: 0000-0002-1487-7511

Publication year:
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1 - 10 out of 55Page size: 10
  1. 2023
  2. Accepted/In press

    Invariant Policy Learning: A Causal Perspective

    Saengkyongam, Sorawit, Thams, Nikolaj Theodor Birkmose, Peters, Jonas Martin & Pfister, Niklas Andreas, 2023, (Accepted/In press) In: IEEE Transactions on Pattern Analysis and Machine Intelligence. p. 1-15 15 p.

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

  3. 2022
  4. Published

    A Causal Framework for Distribution Generalization

    Christiansen, R., Pfister, Niklas Andreas, Emil Jakobsen, M., Gnecco, N. & Peters, Jonas Martin, 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

  5. Published

    Conditional independence testing in Hilbert spaces with applications to functional data analysis

    Lundborg, Anton Rask, Shah, R. D. & Peters, Jonas Martin, 2022, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 84, 5, p. 1821-1850 30 p.

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

  6. Published

    Distributional robustness of K-class estimators and the PULSE

    Jakobsen, M. E. & Peters, Jonas Martin, 2022, In: The Econometrics Journal. 25, 2, p. 404–432

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

  7. Published

    Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning

    Weichwald, Sebastian, Wengel Mogensen, S., Lee, T. E., Baumann, D., Kroemer, O., Guyon, I., Trimpe, S., Peters, Jonas Martin & Pfister, Niklas Andreas, 2022, Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track. PMLR, p. 246-258 (Proceedings of Machine Learning Research, Vol. 176).

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

  8. Published

    Structure Learning for Directed Trees

    Jakobsen, M. E., Shah, R. D., Bühlmann, P. & Peters, Jonas Martin, 2022, In: Journal of Machine Learning Research. 23, p. 1-97 (159).

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

  9. Published

    Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia

    Christiansen, R., Baumann, M., Kuemmerle, T., Mahecha, M. D. & Peters, Jonas Martin, 2022, In: Journal of the American Statistical Association. 117, p. 591-601

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

  10. 2021
  11. Published

    Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness

    Weichwald, Sebastian & Peters, Jonas Martin, Feb 2021, In: Journal of Cognitive Neuroscience. 33, 2, p. 226-247 22 p.

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

  12. Published

    Anchor regression: Heterogeneous data meet causality

    Rothenhäusler, D., Meinshausen, N., Bühlmann, P. & Peters, Jonas Martin, 2021, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 83, 2, p. 215 - 246

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

  13. Published

    Causal discovery in heavy-tailed models

    Gnecco, N., Meinshausen, N., Peters, Jonas Martin & Engelke, S., 2021, In: Annals of Statistics. 49, 3, p. 1755-1778

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

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