David Ritzwoller

Mathematical Economics Seminar: Algorithmic Decision-Making Speaker: Ashesh Rambachan, MIT Title: Human Decisions and Machine Predictions in Multistage Systems Abstract: Many high-stakes decisions go through successive stages of human review before a final decision is made, complicating efforts to evaluate both the human decision-makers and algorithmic counterfactuals. We develop a framework for evaluating both humans and algorithms […]

Speaker: Christopher Harshaw (c.harshaw@columbia.edu), Columbia University Title: Design-Based Minimax Theory for Network Experiments Abstract: Network experiments are used throughout the social and medical sciences to investigate causal effects under the presence of interference. While a large body of work has developed improved statistical procedures, the fundamental limits of statistical estimation in these settings is less well understood. […]

Speaker: Karun Adusumilli, University of Pennsylvania, Title: Continuous Time Asymptotic Representations for Adaptive Experiments Abstract: This article develops a continuous-time asymptotic framework for analyzing adaptive experiments—settings in which data collection and treatment assignment evolve dynamically in response to incoming information. Akey challenge in analyzing fully adaptive experiments, where the assignment policy is updated after each […]