5 citations · 6 across the 3 of their papers we have counts for
4 papers
Adaptive Combinatorial Allocation
Maximilian Kasy, Alexander Teytelboym
We consider settings where an allocation has to be chosen repeatedly, returns are unknown but can be learned, and decisions are subject to constraints. Our model covers two-sided a…
Approximate Cross-validation: Guarantees for Model Assessment and Selection
Ashia Wilson, Maximilian Kasy, Lester Mackey
Cross-validation (CV) is a popular approach for assessing and selecting predictive models. However, when the number of folds is large, CV suffers from a need to repeatedly refit a…
Identification of and correction for publication bias
Isaiah Andrews, Maximilian Kasy
Some empirical results are more likely to be published than others. Such selective publication leads to biased estimates and distorted inference. This paper proposes two approaches…
The Risk of Machine Learning
Alberto Abadie, Maximilian Kasy
Many applied settings in empirical economics involve simultaneous estimation of a large number of parameters. In particular, applied economists are often interested in estimating t…