Yu-Sen Xia

From Results to Practice: A Human-LLM Collaboration Framework for Spanning Causal Machine Learning Knowledge Boundaries

Organizations are beginning to deploy causal machine learning (causal ML) models for estimating average treatment effects and treatment effect differences for various subgroups, as well as identifying causal mechanisms driving treatment effects. For instance, in domains such as health care and marketing, causal ML is b...