Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values

Harvard CMSA via YouTube Direct link

Intro

1 of 11

1 of 11

Intro

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Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values

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  1. 1 Intro
  2. 2 Data Missing Patterns Depend on Sensitive Group Attributes
  3. 3 Group Fairness Metrics
  4. 4 Fair Machine Learning Literature
  5. 5 Fair Learning With Missing Values
  6. 6 Main Contributions
  7. 7 Biased imputation method
  8. 8 Mismatched imputation methods
  9. 9 Imputation without being aware of the downstream task
  10. 10 Numerical Results of Fair MIP Forest Algorithm
  11. 11 Future Directions

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