Thijs van Ommen

According to our database, Thijs van Ommen authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimal Causal Representations and the Causal Information Bottleneck.

Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen

CoRR, 2024

Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams.

Thijs van Ommen

CoRR, 2024

Fundamental Properties of Causal Entropy and Information Gain.

Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen

Proceedings of the Causal Learning and Reasoning, 2024

2023

Causal Entropy and Information Gain for Measuring Causal Control.

Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Graphical Representations for Algebraic Constraints of Linear Structural Equations Models.

Thijs van Ommen, Mathias Drton

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2019

Robust Causal Domain Adaptation in a Simple Diagnostic Setting.

Thijs van Ommen

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Efficient Algorithms for Minimax Decisions Under Tree-Structured Incompleteness.

Thijs van Ommen, Wouter M. Koolen, Peter D. Grünwald

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018

Algebraic Equivalence of Linear Structural Equation Models.

Thijs van Ommen, Joris M. Mooij

CoRR, 2018

Learning Bayesian Networks by Branching on Constraints.

Thijs van Ommen

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions.

Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris M. Mooij

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Causal Transfer Learning.

Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris M. Mooij

CoRR, 2017

Algebraic Equivalence Class Selection for Linear Structural Equation Models.

Thijs van Ommen, Joris M. Mooij

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Computing Minimax Decisions with Incomplete Observations.

Thijs van Ommen

Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

2016

Robust probability updating.

Thijs van Ommen, Wouter M. Koolen, Thijs E. Feenstra, Peter D. Grünwald

Int. J. Approx. Reason., 2016

2015

Worst-case Optimal Probability Updating.

Thijs van Ommen, Wouter M. Koolen, Thijs E. Feenstra, Peter D. Grünwald

CoRR, 2015

2014

Combining predictions from linear models when training and test inputs differ.

Thijs van Ommen

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014