2 papers
cs.LG2026
MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions
Yuantong Li, Lei Yuan, Zhihao Zheng +27
Modern recommendation systems rank candidates by aggregating multiple behavioral signals through a value model. However, many commonly used signals are inherently affected by heter…
stat.ME2026
Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
Matthew Kosko, Falco J, Bargagli-Stoffi +2
Kernel methods are widely used in causal inference for tasks such as treatment effect estimation, policy evaluation, and policy learning. The bootstrap is a standard tool for uncer…