6 citations · 12 across the 10 of their papers we have counts for
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stat.ME2017
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent Dorie, Jennifer Hill, Uri Shalit +2
Statisticians have made great progress in creating methods that reduce our reliance on parametric assumptions. However this explosion in research has resulted in a breadth of infer…
stat.ML2017
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos, Uri Shalit, Joris Mooij +3
Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for pol…