Stephan Bongers
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Year
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, 10846-10856, 2018
30*2018
Causal consistency of structural equation models
PK Rubenstein, S Weichwald, S Bongers, JM Mooij, D Janzing, ...
arXiv preprint arXiv:1707.00819, 2017
172017
Theoretical aspects of cyclic structural causal models
S Bongers, J Peters, B Schölkopf, JM Mooij
arXiv preprint arXiv:1611.06221, 2016
14*2016
From random differential equations to structural causal models: The stochastic case
S Bongers, JM Mooij
arXiv preprint arXiv:1803.08784, 2018
112018
Geometric quantization of symplectic and Poisson manifolds
S Bongers
Utrecht University, 2014
112014
From deterministic ODEs to dynamic structural causal models
PK Rubenstein, S Bongers, B Schölkopf, JM Mooij
arXiv preprint arXiv:1608.08028, 2016
72016
Theoretical aspects of cyclic structural causal models. arXiv. org preprint
S Bongers, J Peters, B Schölkopf, JM Mooij
arXiv preprint arXiv:1611.06221, 2018
52018
Beyond structural causal models: Causal constraints models
T Blom, S Bongers, JM Mooij, P Forr, JM Mooij, S Magliacane, ...
Proceedings of the 35th Annual Conference on {U} ncertainty in {A} rtificial …, 2018
22018
Bridging the Gap between Random Differential Equations and Structural Causal Models
S Bongers, JM Mooij
Causality workshop at the 34th international conference on Uncertainty in …, 2018
2018
Curing the Curse of Non-Recursiveness in Structural Causal Models
S Bongers, J Peters, B Schölkopf, JM Mooij
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Articles 1–10