2 papers
cs.LG2026
Honesty in Causal Forests: When It Helps and When It Hurts
Yanfang Hou, Carlos Fernández-LorÃa
Causal forests estimate how treatment effects vary across individuals, guiding personalized interventions in areas like marketing, operations, and public policy. A standard practic…
stat.ML2025
Causal Post-Processing of Predictive Models
Carlos Fernández-LorÃa, Yanfang Hou, Foster Provost +1
Organizations increasingly rely on predictive models to decide who should be targeted for interventions, such as marketing campaigns, customer retention offers, or medical treatmen…