389 citations · 1.1k across the 25 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
stat.ML2016★ 131 cited
Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit, Fredrik D. Johansson, David Sontag
There is intense interest in applying machine learning to problems of causal inference in fields such as healthcare, economics and education. In particular, individual-level causal…
stat.ML2016★ 185 cited
Learning Representations for Counterfactual Inference
Fredrik D. Johansson, Uri Shalit, David Sontag
Observational studies are rising in importance due to the widespread accumulation of data in fields such as healthcare, education, employment and ecology. We consider the task of a…