Methodology / Methodology

Naoki Egami, Columbia University

Leveraging Observational Outcomes To Improve the Generalization of Experimental Results - Melody Huang, University of California-Berkeley; Naoki Egami, Columbia University; Erin Hartman, University of California-Berkeley; Luke Miratrix, Harvard University

Causal Inference with Bundled Treatments and Bundled Moderators - Zach Markovich, Massachusetts Institute of Technology

Multi-Armed Bandits for Budget-Constrained Data Collection - Apoorva Lal, Stanford University

Counterfactual Forecasting: Causal Inference without Simultaneous Controls - Matthew Tyler, Stanford University

Beyond Topics: Learning for Texts as a Measurement - Shiyao Liu, New York University Abu Dhabi

Naoki Egami, Columbia University

Chad Hazlett, University of California-Los Angeles