2 papers
cs.LG2023
Diffusion Model in Causal Inference with Unmeasured Confounders
Tatsuhiro Shimizu
We study how to extend the use of the diffusion model to answer the causal question from the observational data under the existence of unmeasured confounders. In Pearl's framework…
stat.ML2023
Doubly Robust Estimator for Off-Policy Evaluation with Large Action Spaces
Tatsuhiro Shimizu, Laura Forastiere
We study Off-Policy Evaluation (OPE) in contextual bandit settings with large action spaces. The benchmark estimators suffer from severe bias and variance tradeoffs. Parametric app…