LLM-Guided Reinforcement Learning for Mastery Learning: Large-Scale Field Evidence

Non-parametric Causal Inference in Dynamic Thresholding Designs

Agreement and Alignment for Human-AI Collaborative Decision Making

Human Values in Clinical Algorithms, Old and New

When Prediction Becomes Policy: What Do Risk Models Actually Learn?

Evaluating Probabilistic Decision Making by LLMs: A Decision-Theoretic Framework and Application

Algorithmic UDAP

Operational Dosage: The Impact of Capacity Constraints on RCT Evaluation

The Role of Standardized Tests in Admissions: Predictions vs. Decisions

Individual Gaps in Prediction Generalization

Beyond Prediction Performance: How Modeling Decisions Shape Fairness Outcomes in Statistical Profiling

The Feedback Loop of Statistical Discrimination

Decision Theoretic Foundations for Human-AI Collaboration

Evaluation Design

Recommendation in Equilibrium for the NYC High School Match

Automating the US Welfare State: Historical Experiments in Technological Federalism

On Machine Learning for Prediction and Prioritization in the Allocation of Scarce Societal Resources