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stat.ML2026
Inference on the Value of Policy Improvement in Adaptive Experiments
Justin Whitehouse, Emma Brunskill, Vasilis Syrgkanis
In this paper, we develop an asymptotically normal estimator for the value of policy improvement (VPI) under adaptively collected data. This value, which is defined as the gap betw…
stat.ML2026
Statistical Inference and Learning for Shapley Additive Explanations (SHAP)
Justin Whitehouse, Ayush Sawarni, Vasilis Syrgkanis
The SHAP (short for Shapley additive explanation) framework has become an essential tool for attributing importance to variables in predictive tasks. In model-agnostic settings, SH…