15 citations · 45 across the 13 of their papers we have counts for
4 papers · 1 filter
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder, Katherine A. Keith, Emaad Manzoor +10
A fundamental goal of scientific research is to learn about causal relationships. However, despite its critical role in the life and social sciences, causality has not had the same…
The Proximal ID Algorithm
Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen
Unobserved confounding is a fundamental obstacle to establishing valid causal conclusions from observational data. Two complementary types of approaches have been developed to addr…
Faithful and Plausible Explanations of Medical Code Predictions
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
Machine learning models that offer excellent predictive performance often lack the interpretability necessary to support integrated human machine decision-making. In clinical medic…
Generating Synthetic Text Data to Evaluate Causal Inference Methods
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Drawing causal conclusions from observational data requires making assumptions about the true data-generating process. Causal inference research typically considers low-dimensional…