Causal Analysis of Feedback Systems

Publikacje

Algebraic Equivalence of Linear Structural Equation Models

Autorzy: Thijs van Ommen, Joris M. Mooij
Opublikowane w: Proceedings of the 33rd Annual Conference on Uncertainty in Artificial Intelligence, Numer UAI 2017, 2017
Wydawca: Association for Uncertainty in Artificial Intelligence

Causal Effect Inference with Deep Latent-Variable Models

Autorzy: Louizos, Christos; Shalit, Uri; Mooij, Joris; Sontag, David; Zemel, Richard; Welling, Max
Opublikowane w: Advances in Neural Information Processing Systems 30, Numer NeurIPS 2017, 2017, Strona(/y) 6446-6456
Wydawca: Curran Associates, Inc.

Causal Consistency of Structural Equation Models

Autorzy: Rubenstein, Paul K.; Weichwald, Sebastian; Bongers, Stephan; Mooij, Joris M.; Janzing, Dominik; Grosse-Wentrup, Moritz; Schölkopf, Bernhard
Opublikowane w: Proceedings of the 33rd Annual Conference on Uncertainty in Artificial Intelligence, Numer UAI 2017, 2017
Wydawca: Association for Uncertainty in Artificial Intelligence

From Deterministic ODEs to Dynamic Structural Causal Models

Autorzy: Rubenstein, Paul K.; Bongers, Stephan; Schoelkopf, Bernhard; Mooij, Joris M.
Opublikowane w: Proceedings of the 34th Annual Conference on Uncertainty in Artificial Intelligence (UAI-18), Numer UAI 2018, 2018
Wydawca: Association for Uncertainty in Artificial Intelligence

An Upper Bound for Random Measurement Error in Causal Discovery

Autorzy: Tineke Blom, Anna Klimovskaia, Sara Magliacane, Joris M. Mooij
Opublikowane w: Proceedings of the 34th Annual Conference on Uncertainty in Artificial Intelligence (UAI-18), Numer UAI 2018, 2018
Wydawca: Association for Uncertainty in Artificial Intelligence

Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders

Autorzy: Patrick Forré, Joris M. Mooij
Opublikowane w: Proceedings of the 34th Annual Conference on Uncertainty in Artificial Intelligence (UAI-18), Numer UAI 2018, 2018
Wydawca: Association for Uncertainty in Artificial Intelligence

Beyond Structural Causal Models: Causal Constraints Models

Autorzy: Tineke Blom, Stephan Bongers, Joris M. Mooij
Opublikowane w: Proceedings of the 35th Annual Conference on Uncertainty in Artificial Intelligence, Numer UAI 2019, 2019
Wydawca: AUAI Press

Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias

Autorzy: Patrick Forré, Joris M. Mooij
Opublikowane w: Proceedings of the 35th Annual Conference on Uncertainty in Artificial Intelligence, Numer UAI 2019, 2019
Wydawca: AUAI Press

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

Autorzy: Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris M. Mooij
Opublikowane w: Advances in Neural Information Processing Systems (NeurIPS-2018), Numer NeurIPS 2018, 2018, Strona(/y) 10869-10879
Wydawca: Curran Associates, Inc.

Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles

Autorzy: Mooij, Joris M.; Claassen, Tom
Opublikowane w: Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), Numer 124, 2020, Strona(/y) 1159-1168
Wydawca: Proceedings of Machine Learning Research

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