Knowledge-Informed Local Causal Discovery of Optimal Adjustment Sets

arXiv:2607.04447 · cs.LG, stat.ML · Submitted 2026-07-05 · Read on arXiv

Seong Woo Ahn, Alessandro Leite, José Lucas De Melo Costa, Fabrice Popineau, Bich-Liên Doan, Arpad Rimmel

cs.LG, stat.ML

Submitted: 2026-07-05

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Causal Discovery — 21× in this paper · explained in 3 episodes
• F1 Score — 8× in this paper · explained in 4 episodes
• Causal Inference — 6× in this paper · explained in 5 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Knowledge Graph — 5× in this paper · explained in 8 episodes
• Knowledge graphs — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Conditional Independence — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 6 episodes
• Augmentation — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Sufficiency — 2× in this paper · explained in 2 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Computational Efficiency — 1× in this paper · explained in 2 episodes
• Faithfulness — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Local Optimal Adjustments Discovery — 1× in this paper
• Performance Gap — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes

Sources

• Local Causal Discovery for Statistically Efficient Causal Inference
• Interpreting and using CPDAGs with background knowledge
• SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph

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