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Nikolaj Thams
Nikolaj Thams
PhD student
Verified email at math.ku.dk - Homepage
Title
Cited by
Year
Local Independence Testing for Point Processes
N Thams, NR Hansen
IEEE Transactions on Neural Networks and Learning Systems, 2023
12023
Statistical testing under distributional shifts
N Thams, S Saengkyongam, N Pfister, J Peters
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
72023
Invariant policy learning: A causal perspective
S Saengkyongam, N Thams, J Peters, N Pfister
IEEE transactions on pattern analysis and machine intelligence, 2023
182023
Evaluating robustness to dataset shift via parametric robustness sets
N Thams, M Oberst, D Sontag
Advances in Neural Information Processing Systems 35, 16877-16889, 2022
52022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets
M Oberst, N Thams, D Sontag
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022
2022
Invariant ancestry search
PB Mogensen, N Thams, J Peters
International Conference on Machine Learning, 15832-15857, 2022
32022
Identifying causal effects using instrumental time series: Nuisance iv and correcting for the past
N Thams, R Søndergaard, S Weichwald, J Peters
arXiv preprint arXiv:2203.06056, 2022
52022
Causality and distribution shift
NTB Thams
Department of Mathematical Sciences, University of Copenhagen, 2022
12022
Regularizing towards causal invariance: Linear models with proxies
M Oberst, N Thams, J Peters, D Sontag
International Conference on Machine Learning, 8260-8270, 2021
242021
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values
S Weichwald, ME Jakobsen, PB Mogensen, L Petersen, N Thams, ...
NeurIPS 2019 Competition and Demonstration Track, 27-36, 2020
292020
Causal structure learning in multivariate point processes
N Thams
Master’s 434, 2019
22019
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Articles 1–11