Thijs van Ommen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 17

Top Topics

Information Gain

Top Venues

Publications

Thijs van Ommen
Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams. CoRR (2024)
Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen
Fundamental Properties of Causal Entropy and Information Gain. CoRR (2024)
Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen
Fundamental Properties of Causal Entropy and Information Gain. CLeaR (2024)
Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen
Causal Entropy and Information Gain for Measuring Causal Control. ECAI Workshops (1) (2023)
Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen
Causal Entropy and Information Gain for Measuring Causal Control. CoRR (2023)
Thijs van Ommen, Mathias Drton
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models. PGM (2022)
Thijs van Ommen, Mathias Drton
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models. CoRR (2022)
Thijs van Ommen, Wouter M. Koolen, Peter D. Grünwald
Efficient Algorithms for Minimax Decisions Under Tree-Structured Incompleteness. ECSQARU (2019)
Thijs van Ommen
Robust Causal Domain Adaptation in a Simple Diagnostic Setting. ISIPTA (2019)
Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris M. Mooij
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions. NeurIPS (2018)
Thijs van Ommen
Learning Bayesian Networks by Branching on Constraints. PGM (2018)
Thijs van Ommen, Joris M. Mooij
Algebraic Equivalence of Linear Structural Equation Models. CoRR (2018)
Thijs van Ommen
Computing Minimax Decisions with Incomplete Observations. ISIPTA (2017)
Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris M. Mooij
Causal Transfer Learning. CoRR (2017)
Thijs van Ommen, Joris M. Mooij
Algebraic Equivalence Class Selection for Linear Structural Equation Models. UAI (2017)
Thijs van Ommen, Wouter M. Koolen, Thijs E. Feenstra, Peter D. Grünwald
Robust probability updating. Int. J. Approx. Reason. 74 (2016)
Thijs van Ommen, Wouter M. Koolen, Thijs E. Feenstra, Peter D. Grünwald
Worst-case Optimal Probability Updating. CoRR (2015)
Thijs van Ommen
Combining predictions from linear models when training and test inputs differ. CoRR (2014)
Thijs van Ommen
Combining predictions from linear models when training and test inputs differ. UAI (2014)