Jonas Martin Peters

Jonas Martin Peters

Professor

ORCID: 0000-0002-1487-7511

Publication year:
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21 - 30 out of 56Page size: 10
  1. 2019
  2. Published

    Learning stable and predictive structures in kinetic systems

    Pfister, Niklas Andreas, Bauer, S. & Peters, Jonas Martin, 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

  3. 2018
  4. Published

    Kernel-based tests for joint independence

    Pfister, Niklas Andreas, Bühlmann, P., Schölkopf, B. & Peters, Jonas Martin, 1 Jan 2018, In: Journal of the Royal Statistical Society, Series B (Statistical Methodology). 80, 1, p. 5-31 27 p.

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

  5. Published

    Invariant Causal Prediction for Nonlinear Models

    Heinze-Deml, C., Peters, Jonas Martin & Meinshausen, N., 2018, In: Journal of Causal Inference. 6, 2, 35 p., 20170016.

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

  6. Published

    Invariant Models for Causal Transfer Learning

    Rojas-Carulla, M., Schoelkopf, B., Turner, R. & Peters, Jonas Martin, 2018, In: Journal of Machine Learning Research. 19, 1, p. 1-34

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

  7. 2017
  8. Published

    Elements of Causal Inference: Foundations and Learning Algorithms: Foundations and Learning Algorithms

    Peters, Jonas Martin, Janzing, D. & Schölkopf, B., 2017, MIT Press. 288 p. (Adaptive Computation and Machine Learning series ).

    Research output: Book/Report › Book › Research › peer-review

  9. 2016

  10. Causal inference by using invariant prediction: identification and confidence intervals

    Peters, Jonas Martin, Bühlmann, P. & Meinshausen, N., Nov 2016, In: Journal of the Royal Statistical Society, Series B (Statistical Methodology). 78, 5, p. 947-1012

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

  11. Methods for causal inference from gene perturbation experiments and validation

    Meinshausen, N., Hauser, A., Mooij, J. M., Peters, Jonas Martin, Versteeg, P. & Bühlmann, P., 5 Jul 2016, In: Proceedings of the National Academy of Sciences of the United States of America. 113, 27, p. 7361-7368

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

  12. Modeling confounding by half-sibling regression

    Schölkopf, B., Hogg, D. W., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. & Peters, Jonas Martin, 5 Jul 2016, In: Proceedings of the National Academy of Sciences of the United States of America. 113, 27, p. 7391-7398 8 p.

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

  13. Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks

    Mooij, J. M., Peters, Jonas Martin, Janzing, D., Zscheischler, J. & Schölkopf, B., 2016, In: Journal of Machine Learning Research. 17, p. 1-102

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

  14. The Arrow of Time in Multivariate Time Series

    Bauer, S., Schölkopf, B. & Peters, Jonas Martin, 2016, Proceedings of the 33rd International Conference on Machine Learning (ICML). p. 2043-2051 9 p.

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

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