Corpus ID: 208857863

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

@article{Mahajan2019PreservingCC,
  title={Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers},
  author={Divyat Mahajan and Chenhao Tan and Ajay Sharma},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.03277}
}
  • Divyat Mahajan, Chenhao Tan, Ajay Sharma
  • Published 2019
  • Mathematics, Computer Science
  • ArXiv
  • Explaining the output of a complex machine learning (ML) model often requires approximation using a simpler model. To construct interpretable explanations that are also consistent with the original ML model, counterfactual examples --- showing how the model's output changes with small perturbations to the input --- have been proposed. This paper extends the work in counterfactual explanations by addressing the challenge of feasibility of such examples. For explanations of ML models in critical… CONTINUE READING

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