Identifiability

Causal inference on process graphs: Causal structure and effect identification

A structural vector autoregressive (SVAR) process is a linear causal model for variables that evolve over a discrete set of time points …

@article{reiterCausalInferenceOnProcess2026,
 author = {Nicolas-Domenic Reiter and Jonas Wahl and Andreas Gerhardus and Jakob Runge},
 doi = {10.3150/25-BEJ1909},
 journal = {Bernoulli},
 month = {5},
 number = {2},
 pages = {1356-1382},
 publisher = {Bernoulli Society for Mathematical Statistics and Probability},
 title = {Causal inference on process graphs: Causal structure and effect identification},
 url = {https://www.dfki.de/fileadmin/user_upload/import/16775_casual_inference_on_process_graphs.pdf},
 volume = {32},
 year = {2026}
}

Structural Causal Bottleneck Models

We introduce structural causal bottleneck models (SCBMs), a novel class of structural causal models. At the core of SCBMs lies the …

@inproceedings{bingStructuralCausalBottleneckModels2025,
 author = {Simon Bing and Jonas Wahl and Jakob Runge},
 booktitle = {UAI 2025 Workshop on Causal Abstractions and Representations. Causal Abstractions and Representations (CAR), located at UAI 2025, July 25, Rio de Janeiro, Brazil},
 month = {6},
 publisher = {OpenReview},
 title = {Structural Causal Bottleneck Models},
 url = {https://openreview.net/forum?id=EFNvKMSITB},
 year = {2025}
}