2 citations · 5 across the 8 of their papers we have counts for
5 papers · 1 filter
Empirical Bayes for compound adaptive experiments
Karun Adusumilli, Jiaying Gu, Junfan Tao
We investigate Empirical Bayes (EB) methods in the context of compound adaptive experiments, where the arm distribution in each experiment follows a normal distribution with an unk…
Designing Persuasive Experiments
Karun Adusumilli, Abhi Vemulapati
Incentives in experimental design are often misaligned: experimenters design and finance experiments to seek regulatory approval, while regulators seek to maximize social welfare.…
You've Got to be Efficient: Ambiguity, Misspecification and Variational Preferences
Karun Adusumilli
We develop a framework for evaluating statistical decisions under both prior ambiguity and likelihood misspecification, which involves uniformly expanding a frequentist ambiguity s…
From Cross-Validation to SURE: Asymptotic Risk of Tuned Regularized Estimators
Karun Adusumilli, Maximilian Kasy, Ashia Wilson
We derive the asymptotic risk function of regularized empirical risk minimization (ERM) estimators tuned by -fold cross-validation (CV). The out-of-sample prediction loss of suc…
Continuous time asymptotic representations for adaptive experiments
Karun Adusumilli
This article develops a continuous-time asymptotic framework for analyzing adaptive experiments -- settings in which data collection and treatment assignment evolve dynamically in…