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cs.LG2025
Honesty in Causal Forests: When It Helps and When It Hurts
Yanfang Hou, Carlos Fernández-Loría
Causal forests estimate how treatment effects vary across individuals, guiding personalized interventions in areas like marketing, operations, and public policy. A standard practic…
cs.LG2025
Causal Inference Isn't Special: Why It's Just Another Prediction Problem
Carlos Fernández-Loría
Causal inference is often portrayed as fundamentally distinct from predictive modeling, with its own terminology, goals, and intellectual challenges. But at its core, causal infere…