Author

Tobias Freidling

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Preprint Sep 2026

Randomization Inference with Concentration Inequalities

Randomization or design-based inference is becoming an increasingly popular tool for analysing data from randomized experiments: It does not require modelling assumptions on the distribution of outcomes or covariates, and hypothesis testing and estimation are respectively valid and unbiased in finite samples. Yet, conf...

Tobias Freidling · 0 citations

Preprint Aug 2026

Counterfactual Optimization of Policy Interventions: Lexical Ordering and Leapfrogging

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 individuals. Motivated by the ethical principle of"first do no harm", we study how to design a change from a baseline policy that improves overall...

Martina Scauda, Tobias Freidling, Qingyuan Zhao · 0 citations