Publications Conference proceedings (10) Algebraic Equivalence of Linear Structural Equation Models Author(s): Thijs van Ommen, Joris M. Mooij Published in: Proceedings of the 33rd Annual Conference on Uncertainty in Artificial Intelligence, Issue UAI 2017, 2017 Publisher: Association for Uncertainty in Artificial Intelligence Causal Effect Inference with Deep Latent-Variable Models Author(s): Louizos, Christos; Shalit, Uri; Mooij, Joris; Sontag, David; Zemel, Richard; Welling, Max Published in: Advances in Neural Information Processing Systems 30, Issue NeurIPS 2017, 2017, Page(s) 6446-6456 Publisher: Curran Associates, Inc. Causal Consistency of Structural Equation Models Author(s): Rubenstein, Paul K.; Weichwald, Sebastian; Bongers, Stephan; Mooij, Joris M.; Janzing, Dominik; Grosse-Wentrup, Moritz; Schölkopf, Bernhard Published in: Proceedings of the 33rd Annual Conference on Uncertainty in Artificial Intelligence, Issue UAI 2017, 2017 Publisher: Association for Uncertainty in Artificial Intelligence From Deterministic ODEs to Dynamic Structural Causal Models Author(s): Rubenstein, Paul K.; Bongers, Stephan; Schoelkopf, Bernhard; Mooij, Joris M. Published in: Proceedings of the 34th Annual Conference on Uncertainty in Artificial Intelligence (UAI-18), Issue UAI 2018, 2018 Publisher: Association for Uncertainty in Artificial Intelligence An Upper Bound for Random Measurement Error in Causal Discovery Author(s): Tineke Blom, Anna Klimovskaia, Sara Magliacane, Joris M. Mooij Published in: Proceedings of the 34th Annual Conference on Uncertainty in Artificial Intelligence (UAI-18), Issue UAI 2018, 2018 Publisher: Association for Uncertainty in Artificial Intelligence Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders Author(s): Patrick Forré, Joris M. Mooij Published in: Proceedings of the 34th Annual Conference on Uncertainty in Artificial Intelligence (UAI-18), Issue UAI 2018, 2018 Publisher: Association for Uncertainty in Artificial Intelligence Beyond Structural Causal Models: Causal Constraints Models Author(s): Tineke Blom, Stephan Bongers, Joris M. Mooij Published in: Proceedings of the 35th Annual Conference on Uncertainty in Artificial Intelligence, Issue UAI 2019, 2019 Publisher: AUAI Press Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias Author(s): Patrick Forré, Joris M. Mooij Published in: Proceedings of the 35th Annual Conference on Uncertainty in Artificial Intelligence, Issue UAI 2019, 2019 Publisher: AUAI Press Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Author(s): Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris M. Mooij Published in: Advances in Neural Information Processing Systems (NeurIPS-2018), Issue NeurIPS 2018, 2018, Page(s) 10869-10879 Publisher: Curran Associates, Inc. Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles Author(s): Mooij, Joris M.; Claassen, Tom Published in: Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), Issue 124, 2020, Page(s) 1159-1168 Publisher: Proceedings of Machine Learning Research Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
