Manish Raghavan

Statistical Guarantees in the Search for Less Discriminatory Algorithms

Double Machine Learning for Causal Inference under Shared-State Interference

Evaluating multiple models using labeled and unlabeled data

Homogeneous Algorithms Can Reduce Competition in Personalized Pricing

Evaluating multiple models using labeled and unlabeled data

Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models