Nikolaj Theodor Birkmose Thams

Nikolaj Theodor Birkmose Thams

Indskrevet ph.d.-studerende


Udgivelsesår:
  1. 2024
  2. E-pub ahead of print

    Local Independence Testing for Point Processes

    Thams, Nikolaj Theodor Birkmose & Hansen, Niels Richard, 2024, (E-pub ahead of print) I: IEEE Transactions on Neural Networks and Learning Systems. s. 1-12 12 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  3. 2023
  4. Udgivet

    Invariant Policy Learning: A Causal Perspective

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  5. Udgivet

    Statistical testing under distributional shifts

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  6. 2022
  7. Udgivet

    Causality and Distribution Shift

    Thams, Nikolaj Theodor Birkmose, 2022, 379 s.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandling

  8. Udgivet

    Evaluating Robustness to Dataset Shift via Parametric Robustness Sets

    Thams, Nikolaj Theodor Birkmose, Oberst, M. & Sontag, D., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (red.). NeurIPS Proceedings, s. 1-45 (Advances in Neural Information Processing Systems, Bind 35).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. 2021
  10. Udgivet

    Regularizing towards Causal Invariance: Linear Models with Proxies

    Oberst, M., Thams, Nikolaj Theodor Birkmose, Peters, J. M. & Sontag, D., 2021, Proceedings of the 38th International Conference on Machine Learning (ICML). PMLR, s. 1-11 (Proceedings of Machine Learning Research, Bind 139).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  11. 2020
  12. Udgivet

    Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

    Weichwald, Sebastian, Emil Jakobsen, M., Mogensen, Phillip Bredahl, Petersen, L., Thams, Nikolaj Theodor Birkmose & Varando, G., 2020, Proceedings of the NeurIPS 2019 Competition and Demonstration Track. PMLR, s. 27-36 (Proceedings of Machine Learning Research, Bind 123).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

ID: 165238204