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, 10846-10856, 2018
36*2018
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
23*2016
Causal consistency of structural equation models
PK Rubenstein, S Weichwald, S Bongers, JM Mooij, D Janzing, ...
arXiv preprint arXiv:1707.00819, 2017
212017
From random differential equations to structural causal models: The stochastic case
S Bongers, JM Mooij
arXiv preprint arXiv:1803.08784, 2018
192018
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
92016
Beyond structural causal models: Causal constraints models
T Blom, S Bongers, JM Mooij
arXiv preprint arXiv:1805.06539, 2018
7*2018
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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Artikelen 1–9