3 papers
stat.AP2026
Causal Inference with Video Features as Treatments
Kentaro Nakamura, Adam Breuer, Michael H. Crespin +2
We develop the first statistical methodology for causal inference with video features as treatments. Video is the most engaging content modality on the internet. A central causal q…
cs.CL2026
Using Embedding Models to Improve Probabilistic Race Prediction
Noah Dasanaike, Kosuke Imai
Estimating racial disparity requires individual-level race data, which are often unavailable due to the sensitivity of collecting such information. To address this problem, many re…
cs.MM2025
Using AI to Summarize US Presidential Campaign TV Advertisement Videos, 1952-2012
Adam Breuer, Bryce J. Dietrich, Michael H. Crespin +3
This paper introduces the largest and most comprehensive dataset of US presidential campaign television advertisements, available in digital format. The dataset also includes machi…