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Stephan Bongers
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Domain adaptation by using causal inference to predict invariant conditional distributions
S Magliacane, T van Ommen, T Claassen, S Bongers, P Versteeg, ...
Advances in Neural Information Processing Systems (NeurIPS 2018), 10846-10856, 2018
1572018
Foundations of structural causal models with cycles and latent variables
S Bongers, P Forré, J Peters, JM Mooij
The Annals of Statistics 49 (5), 2885-2915, 2021
86*2021
Causal consistency of structural equation models
PK Rubenstein, S Weichwald, S Bongers, JM Mooij, D Janzing, ...
Proceedings of the 33rd Annual Conference on Uncertainty in Artificial …, 2017
532017
Causal modeling of dynamical systems
S Bongers, T Blom, JM Mooij
arXiv preprint arXiv:1803.08784, 2018
45*2018
From deterministic ODEs to dynamic structural causal models
PK Rubenstein, S Bongers, B Schölkopf, JM Mooij
Proceedings of the 34th Annual Conference on Uncertainty in Artificial …, 2016
322016
Beyond structural causal models: Causal constraints models
T Blom, S Bongers, JM Mooij
Proceedings of the 35th Annual Conference on Uncertainty in Artificial …, 2020
28*2020
Geometric quantization of symplectic and Poisson manifolds
S Bongers
Utrecht University, 2014
132014
Causal modeling & dynamical systems: A new perspective on feedback
SR Bongers
NARCIS, 2022
12022
Curing the Curse of Non-Recursiveness in Structural Causal Models
S Bongers, J Peters, B Schölkopf, JM Mooij
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Articles 1–9