Prediction-Powered Data Fusion for Treatment Effect Estimation

arXiv:2610.12332 · stat.ML, cs.AI, cs.LG, stat.ME · Submitted 2026-10-08 · Read on arXiv

stat.ML, cs.AI, cs.LG, stat.ME

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/CausalDataScience/DataFusionPPI

Terminology

• Calibration — 18× in this paper · explained in 7 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Causal Inference — 7× in this paper · explained in 4 episodes
• Data Fusion — 6× in this paper · explained in 3 episodes
• Covariate Shift — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization Bounds — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
• Adaptive Combination of Randomized and Observational Data
• Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects

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