15 citations · 19 across the 9 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
stat.ME2026
Optimal Designs with Robust Inference for Binary Treatment Effects
David Azriel, Abba M. Krieger, Adam Kapelner
We study randomized experiments with binary outcomes under Neyman's nonparametric model, where covariate measurements are fixed but potential outcomes are random. In this setting w…
stat.ME2026
Improved Conditional Logistic Regression using Information in Concordant Pairs with Software
Jacob Tennenbaum, Adam Kapelner
We develop an improvement to conditional logistic regression (CLR) in the setting where the parameter of interest is the additive effect of binary treatment effect on log-odds of t…
cs.CL2026
Predicting Contextual Informativeness for Vocabulary Learning using Deep Learning
Tao Wu, Adam Kapelner
We describe a modern deep learning system that automatically identifies informative contextual examples (\qu{contexts}) for first language vocabulary instruction for high school st…