Deep IV: A Flexible Approach for Counterfactual Prediction

ICML 2017 • Jason Hartford • Greg Lewis • Kevin Leyton-Brown • Matt Taddy

Counterfactual prediction requires understanding causal relationships between so-called treatment and outcome variables. This paper provides a recipe for augmenting deep learning methods to accurately characterize such relationships in the presence of instrument variables (IVs) – sources of treatment randomization that are conditionally independent from the outcomes... (read more)

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