1.6k citations · 1.9k across the 35 of their papers we have counts for
6 papers · 1 filter
Estimation Considerations in Contextual Bandits
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey +1
Contextual bandit algorithms are sensitive to the estimation method of the outcome model as well as the exploration method used, particularly in the presence of rich heterogeneity…
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements
Francisco J. R. Ruiz, Susan Athey, David M. Blei
We develop SHOPPER, a sequential probabilistic model of shopping data. SHOPPER uses interpretable components to model the forces that drive how a customer chooses products; in part…
When Should You Adjust Standard Errors for Clustering?
Alberto Abadie, Susan Athey, Guido Imbens +1
In empirical work it is common to estimate parameters of models and report associated standard errors that account for "clustering" of units, where clusters are defined by factors…
Structured Embedding Models for Grouped Data
Maja Rudolph, Francisco Ruiz, Susan Athey +1
Word embeddings are a powerful approach for analyzing language, and exponential family embeddings (EFE) extend them to other types of data. Here we develop structured exponential f…
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges
Susan Athey, Guido Imbens, Thai Pham +1
There is a large literature on semiparametric estimation of average treatment effects under unconfounded treatment assignment in settings with a fixed number of covariates. More re…
Policy Learning with Observational Data
Susan Athey, Stefan Wager
In many areas, practitioners seek to use observational data to learn a treatment assignment policy that satisfies application-specific constraints, such as budget, fairness, simpli…