2 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
Causal Post-Processing of Predictive Models
Carlos Fernández-Loría, 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…
The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation
Yanfang Hou, Peter van der Putten, Suzan Verberne
During the COVID-19 pandemic, large amounts of COVID-19 misinformation are spreading on social media. We are interested in the stance of Twitter users towards COVID-19 misinformati…