Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set

Davin Choo; Chandler Squires; Arnab Bhattacharyya; David Sontag

2025 CLEAR CLeaR 2025

Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set

🌉 Interdisciplinary Bridge - Artificial Intelligence and Knowledge & Reasoning

🐝 Cross-Pollinator - Artificial Intelligence, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio

Authors

Davin Choo , Chandler Squires , Arnab Bhattacharyya , David Sontag

Topics

Artificial Intelligence > Core AI > Causal Inference Knowledge & Reasoning > Reasoning > Causal Inference

Keywords

causal inference causal effect estimation pac learning high-dimensional inference

Download PDF

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