Combining predictions from linear models when training and test inputs differ. - Thijs van Ommen (UAI, 2014)

Worst-case Optimal Probability Updating. - Thijs van Ommen; Wouter M. Koolen; Thijs E. Feenstra; Peter D. Grünwald (CoRR, 2015)

Robust probability updating. - Thijs van Ommen; Wouter M. Koolen; Thijs E. Feenstra; Peter D. Grünwald (Int. J. Approx. Reason., 2016)

Computing Minimax Decisions with Incomplete Observations. - Thijs van Ommen (ISIPTA, 2017)

Algebraic Equivalence Class Selection for Linear Structural Equation Models. - Thijs van Ommen; Joris M. Mooij (UAI, 2017)

Causal Transfer Learning. - Sara Magliacane; Thijs van Ommen; Tom Claassen; Stephan Bongers; Philip Versteeg; Joris M. Mooij (CoRR, 2017)

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 (NeurIPS, 2018)

Learning Bayesian Networks by Branching on Constraints. - Thijs van Ommen (PGM, 2018)

Algebraic Equivalence of Linear Structural Equation Models. - Thijs van Ommen; Joris M. Mooij (CoRR, 2018)

Efficient Algorithms for Minimax Decisions Under Tree-Structured Incompleteness. - Thijs van Ommen; Wouter M. Koolen; Peter D. Grünwald (ECSQARU, 2019)

Robust Causal Domain Adaptation in a Simple Diagnostic Setting. - Thijs van Ommen (ISIPTA, 2019)

Graphical Representations for Algebraic Constraints of Linear Structural Equations Models. - Thijs van Ommen; Mathias Drton (PGM, 2022)

Causal Entropy and Information Gain for Measuring Causal Control. - Francisco Nunes Ferreira Quialheiro Simoes; Mehdi Dastani; Thijs van Ommen (ECAI Workshops (1), 2023)

Fundamental Properties of Causal Entropy and Information Gain. - Francisco Nunes Ferreira Quialheiro Simoes; Mehdi Dastani; Thijs van Ommen (CLeaR, 2024)

Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams. - Thijs van Ommen (UAI, 2024)

Optimal Causal Representations and the Causal Information Bottleneck. - Francisco Nunes Ferreira Quialheiro Simoes; Mehdi Dastani; Thijs van Ommen (CoRR, 2024)

The Causal Information Bottleneck and Optimal Causal Variable Abstractions. - Francisco Nunes Ferreira Quialheiro Simoes; Mehdi Dastani; Thijs van Ommen (UAI, 2025)

The Minimal Search Space for Conditional Causal Bandits. - Francisco Nunes Ferreira Quialheiro Simoes; Itai Feigenbaum; Mehdi Dastani; Thijs van Ommen (CoRR, 2025)