Preserving causal constraints in counterfactual explanations for machine learning classifiers

D Mahajan, C Tan, A Sharma - arXiv preprint arXiv:1912.03277, 2019 - arxiv.org
To construct interpretable explanations that are consistent with the original ML model,
counterfactual examples---showing how the model's output changes with small …
被引用次数：252 相关文章

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

D Mahajan, C Tan, A Sharma - divyat09.github.io
Genigraphics Research Poster Template 36x48 Page 1 Preserving Causal Constraints in
Counterfactual Explanations for Machine Learning Classifiers Divyat Mahajan 1 ; Chenhao Tan …

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

D Mahajan, C Tan, A Sharma - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
To construct interpretable explanations that are consistent with the original ML model,
counterfactual examples---showing how the model's output changes with small …
[PDF] researchgate.net

[PDF][PDF] Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

D Mahajan, C Tan, A Sharma - researchgate.net
To construct interpretable explanations that are consistent with the original ML model,
counterfactual examples—showing how the model's output changes with small …
[PDF] academia.edu

[PDF][PDF] Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

D Mahajan, C Tan, A Sharma - academia.edu
To construct interpretable explanations that are consistent with the original ML model,
counterfactual examples—showing how the model's output changes with small …