Niels Richard Hansen

Niels Richard Hansen

Professor

ORCID: 0000-0003-3883-365X

Publication year:
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  1. 2021
  2. Published

    Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases

    Adams, Jeffrey Glenn, Hansen, Niels Richard & Zhang, K., 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, p. 1-12

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

  3. 2020
  4. Published

    Graphical continuous Lyapunov models

    Varando, G. & Hansen, Niels Richard, 2020, Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAII). Peters, J. & Sontag, D. (eds.). PMLR, p. 989-998 (Proceedings of Machine Learning Research, Vol. 124).

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

  5. 2019
  6. Published

    Causal structure learning for partially observed multivariate event processes

    Hansen, Niels Richard, Mogensen, S. W. & Malinsky, D., 2019, Foundations and new horizons for causal inference. Meinshausen, N., Peters, J., Richardson, T. & Schölkopf, B. (eds.). Mathematisches Forschungsinstitut Oberwolfach, p. 1519-1521 (Oberwolfach Reports; No. 25, Vol. 2019).

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

  7. 2018
  8. Published

    Causal learning for partially observed stochastic dynamical systems

    Mogensen, S. W., Malinsky, D. & Hansen, Niels Richard, 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Globerson, A., Globerson, A. & Silva, R. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), Vol. 1. p. 350-360 11 p.

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

ID: 7337