Stephan Bongers
Stephan Bongers
Ph.D. Candidate, University of Amsterdam
Geverifieerd e-mailadres voor uva.nl - Homepage
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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
69*2018
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
322017
Foundations of structural causal models with cycles and latent variables
S Bongers, P Forré, J Peters, B Schölkopf, JM Mooij
arXiv preprint arXiv:1611.06221, 2016
31*2016
From random differential equations to structural causal models: The stochastic case
S Bongers, JM Mooij
arXiv preprint arXiv:1803.08784, 2018
262018
Beyond structural causal models: Causal constraints models
T Blom, S Bongers, JM Mooij
Proceedings of the 35th Annual Conference on Uncertainty in Artificial …, 2020
16*2020
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
152016
Geometric quantization of symplectic and Poisson manifolds
S Bongers
Utrecht University, 2014
112014
Foundations of structural causal models with cycles and latent variables. arXiv. org preprint
S Bongers, P Forré, J Peters, B Schölkopf, JM Mooij
arXiv preprint arXiv:1611.06221, 2020
52020
Bridging the Gap between Random Differential Equations and Structural Causal Models
S Bongers, JM Mooij
Curing the Curse of Non-Recursiveness in Structural Causal Models
S Bongers, J Peters, B Schölkopf, JM Mooij
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Artikelen 1–10