Jonas Martin Peters

Jonas Martin Peters

Professor


  1. 2009
  2. Detecting the Direction of Causal Time Series

    Peters, Jonas Martin, Janzing, D., Gretton, A. & Schölkopf, B., 2009, Proceedings of the 26th International Conference on Machine Learning (ICML). p. 801-808 8 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  3. Published

    Identifying confounders using additive noise models

    Janzing, D., Peters, Jonas Martin, Mooij, J. M. & Schölkopf, B., 2009, Proceedings of the 25th Annual Conference on Uncertainty in Artificial Intelligence (UAI ). p. 249-257 9 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  4. Kernel methods for detecting the direction of time series

    Peters, Jonas Martin, Janzing, D., Gretton, A. & Schölkopf, B., 2009, Proccedings of the 32nd Annual Conference of the German Classification Society (GfKl 2008). p. 1-10 10 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  5. Published

    Nonlinear causal discovery with additive noise models

    Hoyer, P. O., Janzing, D., Mooij, J. M., Peters, Jonas Martin & Schölkopf, B., 2009, Advances in Neural Information Processing Systems 21 (NIPS). p. 689-696 8 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  6. Regression by Dependence Minimization and its Application to Causal Inference

    Mooij, J. M., Janzing, D., Peters, Jonas Martin & Schölkopf, B., 2009, Proceedings of the 26th International Conference on Machine Learning (ICML). p. 745-752 8 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  7. 2008
  8. Published

    Asymmetries of Time Series under Inverting their Direction

    Peters, Jonas Martin, 2008

    Research output: Other contributionResearch

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