27 citations · 110 across the 14 of their papers we have counts for
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stat.ME2018★ 1 cited
Optimal Balancing of Time-Dependent Confounders for Marginal Structural Models
Nathan Kallus, Michele Santacatterina
Marginal structural models (MSMs) estimate the causal effect of a time-varying treatment in the presence of time-dependent confounding via weighted regression. The standard approac…
stat.ML2018★ 21 cited
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
Nathan Kallus
We study optimal covariate balance for causal inferences from observational data when rich covariates and complex relationships necessitate flexible modeling with neural networks.…