Thijs van Ommen

Assistant Professor, Utrecht University

Joined

April 2017

Names

Thijs van Ommen (Preferred)

Emails

****@gmail.com (Confirmed)

****@uu.nl (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Assistant Professor

Utrecht University (uu.nl)

2019 – Present

Postdoc

Universiteit van Amsterdam (uva.nl)

2016 – 2018

PhD student

Centrum voor Wiskunde & Informatica (cwi.nl)

2010 – 2015

Advisors, Relations & Conflicts

PhD Advisee

Francisco N. F. Q. Simoes

2022 – 2026

Coauthor

Mathias Drton

2022 – 2022

Postdoc Advisor

Joris Mooij

2016 – 2018

PhD Advisor

Peter Grunwald

2010 – 2015

Expertise

causal discovery

Present

causal inference

2016 – Present

model selection

2010 – Present

Publications

The Minimal Search Space for Conditional Causal Bandits
Francisco N. F. Q. Simoes, Itai Feigenbaum, Mehdi Dastani, Thijs van Ommen
- Submitted to ICLR 2026
- Readers: Everyone
The Causal Information Bottleneck and Optimal Causal Variable Abstractions
Francisco N. F. Q. Simoes, Mehdi Dastani, Thijs van Ommen
- UAI 2025 Poster
- Readers: Everyone
The Minimal Search Space for Conditional Causal Bandits
Francisco N. F. Q. Simoes, Itai Feigenbaum, Mehdi Dastani, Thijs van Ommen
- Submitted to ICML 2025
- Readers: Everyone
Optimal Causal Representations and the Causal Information Bottleneck
Francisco N. F. Q. Simoes, Mehdi Dastani, Thijs van Ommen
- Submitted to ICLR 2025
- Readers: Everyone
Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams
Thijs van Ommen
- UAI 2024 poster
- Readers: Everyone
Fundamental Properties of Causal Entropy and Information Gain
Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen
- Published: 01 Jan 2024, Last Modified: 23 Feb 2024
- CoRR 2024
- Readers: Everyone
Causal Entropy and Information Gain for Measuring Causal Control
Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen
- Published: 01 Jan 2023, Last Modified: 23 Feb 2024
- ECAI Workshops (1) 2023
- Readers: Everyone
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris Mooij
- 07 Jan 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models
Thijs van Ommen, Mathias Drton
- 2022 (modified: 20 Oct 2022)
- PGM 2022
- Readers: Everyone
Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it
Peter Grünwald, Thijs van Ommen
- 10 May 2021
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 17 publications