4 papers
Regression Adjustments for Double Randomization in Two-Sided Marketplaces
Timothy Sudijono, Lihua Lei, Lorenzo Masoero +3
Multiple randomization designs (MRDs) are a class of experimental designs used to handle interference in two-sided marketplaces. We investigate regression adjustment strategies for…
Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
Wenlong Ji, Lihua Lei, Tijana Zrnic
We establish a formal connection between the decades-old surrogate outcome model in biostatistics and economics and the emerging field of prediction-powered inference (PPI). The co…
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards
Wenlong Ji, Yihan Pan, Ruihao Zhu +1
Multi-armed bandit (MAB) is a widely adopted framework for sequential decision-making under uncertainty. Traditional bandit algorithms rely solely on online data, which tends to be…
Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects
Wenlong Ji, Lihua Lei, Asher Spector
Many causal estimands are only partially identifiable since they depend on the unobservable joint distribution between potential outcomes. Stratification on pretreatment covariates…