3 papers
stat.ML2026
Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data
Farbod Alinezhad, Jianfei Cao, Gary J. Young +1
Predicting counterfactual outcomes in longitudinal data, where sequential treatment decisions heavily depend on evolving patient states, is critical yet notoriously challenging due…
stat.ML2026
The Condition-Number Principle for Prototype Clustering
Romano Li, Jianfei Cao
We develop a geometric framework that links objective accuracy to structural recovery in prototype-based clustering. The analysis is algorithm-agnostic and applies to a broad class…
econ.EM2025
Neighborhood Stability in Double/Debiased Machine Learning with Dependent Data
Jianfei Cao, Michael P. Leung
This paper studies double/debiased machine learning (DML) methods applied to weakly dependent data. We allow observations to be situated in a general metric space that accommodates…