3 papers
stat.ME2026
Counterfactual Optimization of Policy Interventions: Lexical Ordering and Leapfrogging
Martina Scauda, Tobias Freidling, Qingyuan Zhao
Most data-driven policy learning methods maximize average outcomes, overlooking the possibility that a policy beneficial on average may still harm a substantial fraction of individ…
stat.ME2026
Selective Randomization Inference for Adaptive Experiments
Tobias Freidling, Qingyuan Zhao, Zijun Gao
Adaptive experiments use preliminary analyses of the data to inform further course of action and are commonly used in many disciplines including medical and social sciences. Becaus…
stat.ME2025
Optimization-based Sensitivity Analysis for Unmeasured Confounding using Partial Correlations
Tobias Freidling, Qingyuan Zhao
Causal inference necessarily relies upon untestable assumptions; hence, it is crucial to assess the robustness of obtained results to violations of identification assumptions. Howe…