Corpus ID: 86865292

DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training.

@article{Kallus2018DeepMatchBD,
  title={DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training.},
  author={Nathan Kallus},
  journal={arXiv: Machine Learning},
  year={2018}
}
  • Nathan Kallus
  • Published 2018
  • Mathematics
  • arXiv: Machine Learning
  • We study optimal covariate balance for causal inferences from observational data when rich covariates and complex relationships necessitate flexible modeling with neural networks. Standard approaches such as propensity weighting and matching/balancing fail in such settings due to miscalibrated propensity nets and inappropriate covariate representations, respectively. We propose a new method based on adversarial training of a weighting and a discriminator network that effectively addresses this… CONTINUE READING

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