← Back to papers

2025 CLEAR CLeaR 2025

Controlling for discrete unmeasured confounding in nonlinear causal models

Authors

Patrick Burauel , Frederick Eberhardt , Michel Besserve

Related papers

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications 2025

Beyond Single-Feature Importance with ICECREAM 2025

Score matching through the roof: linear, nonlinear, and latent variables causal discovery 2025

Interpretable Neural Causal Models with TRAM-DAGs 2025

Selecting Accurate Subgraphical Models from Possibly Inaccurate Graphical Models 2025