Stephan Bongers

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Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)Verified email at uva.nl
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Sara MagliacaneUniversity of AmsterdamVerified email at uva.nl
Thijs van OmmenAssistant Professor at Utrecht UniversityVerified email at uu.nl
Tom ClaassenRadboud University NijmegenVerified email at cs.ru.nl
Philip VersteegPhD Student, University of AmsterdamVerified email at uva.nl
Jonas PetersProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
Patrick ForréAssociate Professor Machine Learning, AI4Science Lab Manager, University of AmsterdamVerified email at uva.nl
Paul K RubensteinGoogle DeepMindVerified email at google.com
Tineke BlomUniversity of AmsterdamVerified email at uva.nl
Sebastian WeichwaldUniversity of Copenhagen / formerly Max Planck Institute for Intelligent Systems, ETH ZurichVerified email at math.ku.dk
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Moritz Grosse-WentrupUniversity of ViennaVerified email at univie.ac.at

Stephan Bongers

Postdoctoral Researcher, Delft University of Technology

Verified email at uva.nl - Homepage

Statistics Machine learning Causal inference Sequential inference


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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	274	2018
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	236*	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	138	2017
Causal modeling of dynamical systems S Bongers, T Blom, JM Mooij arXiv preprint arXiv:1803.08784, 2018	76*	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	56	2016
Beyond structural causal models: Causal constraints models T Blom, S Bongers, JM Mooij Proceedings of the 35th Annual Conference on Uncertainty in Artificial …, 2020	47*	2020
Geometric quantization of symplectic and Poisson manifolds S Bongers Utrecht University, 2014	12	2014
Causal modeling & dynamical systems: A new perspective on feedback SR Bongers	2	2022
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	1	2018
SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation CE Brita, S Bongers, FA Oliehoek arXiv preprint arXiv:2412.06486, 2024		2024
When Do Off-Policy and On-Policy Policy Gradient Methods Align? D Mambelli, S Bongers, O Zoeter, MTJ Spaan, FA Oliehoek arXiv preprint arXiv:2402.12034, 2024		2024
SimuDICE: Offline Policy Optimization Through Iterative World Model Updates and DICE Estimation C Brita Planning 1, 1, 2024		2024
Mitigating double-dipping in behavior-agnostic RL Y Aslan, S Bongers, FA Oliehoek
Curing the Curse of Non-Recursiveness in Structural Causal Models S Bongers, J Peters, B Schölkopf, JM Mooij

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