Jacob M. Chen

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• Just Trial Once: Ongoing Causal Validation of Machine Learning Models
  Jacob M. Chen, Michael Oberst
  [arXiv]

• On the consistency of supervised learning with missing values
  Statistical Papers, 2024
  Julie Joss, Jacob M. Chen, Nicolas Prost, Gaël Varoquaux, Erwan Scornet
  [springer] [arXiv]

• Proximal Causal Inference With Text Data
  Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
  Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith
  [paper] [NeurIPS Proceedings] [arXiv]

• Causal Inference With Outcome-Dependent Missingness And Self-Censoring
  39th Conference on Uncertainty in Artificial Intelligence (UAI 2023)
  Jacob M. Chen, Daniel Malinsky, Rohit Bhattacharya
  [arXiv] [OpenReview] [PMLR]