8 citations · 8 across the 1 of their papers we have counts for
4 papers
Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding
Justin Grimmer, Dean Knox, Brandon M. Stewart
The empirical practice of using factor models to adjust for shared, unobserved confounders, , in observational settings with multiple treatments, , is wides…
Understanding How and Why University Students Use Virtual Private Networks
Agnieszka Dutkowska-Zuk, Austin Hounsel, Andre Xiong +4
We study how and why university students chose and use VPNs, and whether they are aware of the security and privacy risks that VPNs pose. To answer these questions, we conducted 32…
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
Mikhail Khodak, Nikunj Saunshi, Yingyu Liang +3
Motivations like domain adaptation, transfer learning, and feature learning have fueled interest in inducing embeddings for rare or unseen words, n-grams, synsets, and other textua…
How to Make Causal Inferences Using Texts
Naoki Egami, Christian J. Fong, Justin Grimmer +2
New text as data techniques offer a great promise: the ability to inductively discover measures that are useful for testing social science theories of interest from large collectio…