Niklas Andreas Pfister
Assistant professor, tenure track, Associate Professor
Department of Mathematical Sciences
Universitetsparken 5, 2100 København Ø, 04 Matematik E, Building: 04-3-18
Member of:
- Published
A Causal Framework for Distribution Generalization
Christiansen, R., Pfister, Niklas Andreas, Emil Jakobsen, M., Gnecco, N. & Peters, J. M., 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
- Published
Supervised learning and model analysis with compositional data
hrt620, hrt620, Ailer, E., Kilbertus, N. & Pfister, Niklas Andreas, 2023, In: PLOS Computational Biology. 19, 6, e1011240.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Stabilizing variable selection and regression
Pfister, Niklas Andreas, Williams, E. G., Peters, J., Aebersold, R. & Bühlmann, P., 2021, In: Annals of Applied Statistics. 15, 3, p. 1220-1246Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Learning stable and predictive structures in kinetic systems
Pfister, Niklas Andreas, Bauer, S. & Peters, J., 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 51, p. 25405-25411Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Invariant Causal Prediction for Sequential Data
Pfister, Niklas Andreas, Bühlmann, P. & Peters, J., 2019, In: Journal of the American Statistical Association. 114, 527, p. 1264-1276 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Robustifying independent component analysis by adjusting for group-wise stationary noise
Pfister, Niklas Andreas, Weichwald, Sebastian, Bühlmann, P. & Schölkopf, B., 2019, In: Journal of Machine Learning Research. 20, 50 p., 147.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Identifiability of Sparse Causal Effects using Instrumental Variables
Pfister, Niklas Andreas & Peters, J., 2022, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence. PMLR, p. 1613-1622 10 p. (Proceedings of Machine Learning Research, Vol. 180).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Kernel-based tests for joint independence
Pfister, Niklas Andreas, Bühlmann, P., Schölkopf, B. & Peters, J., 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
- Published
Interpreting tree ensemble machine learning models with endoR
Ruaud, A., Pfister, Niklas Andreas, Ley, R. E. & Youngblut, N. D., 2022, In: PLOS Computational Biology. 18, 12, 39 p., e1010714.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Invariant Policy Learning: A Causal Perspective
Saengkyongam, S., Thams, Nikolaj Theodor Birkmose, Peters, J. & Pfister, Niklas Andreas, 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 7, p. 8606-8620 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 232695812
Most downloads
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75
downloads
Learning stable and predictive structures in kinetic systems
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
34
downloads
Robustifying independent component analysis by adjusting for group-wise stationary noise
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
24
downloads
Stabilizing variable selection and regression
Research output: Contribution to journal › Journal article › Research › peer-review
Published