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stat.ML2026
How PC-based Methods Err: Towards Better Reporting of Assumption Violations and Small Sample Errors
Sofia Faltenbacher, Jonas Wahl, Rebecca Herman +1
Causal discovery methods based on the PC algorithm are proven to be sound if all structural assumptions are fulfilled and all conditional independence tests are correct. This ideal…
stat.ML2026
Structural Causal Bottleneck Models
Simon Bing, Jonas Wahl, Jakob Runge
We introduce structural causal bottleneck models (SCBMs), a novel class of structural causal models. At the core of SCBMs lies the assumption that causal effects between high-dimen…