Mandoline - Model Evaluation under Distribution Shift

Mandoline - Model Evaluation under Distribution Shift

Stanford MedAI via YouTube Direct link

Hidden Stratification: Approach

17 of 20

17 of 20

Hidden Stratification: Approach

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Mandoline - Model Evaluation under Distribution Shift

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  1. 1 Intro
  2. 2 Outline
  3. 3 The ML model development process
  4. 4 Model Evaluation
  5. 5 Motivation
  6. 6 Common approach: importance weighting
  7. 7 Motivating example
  8. 8 Mandoline: Slice-based reweighting framework
  9. 9 The theory behind using slices
  10. 10 More formally...
  11. 11 Density Ratio Estimation
  12. 12 Experiments: tasks
  13. 13 Experiments: compare to reweighting on x
  14. 14 Summary
  15. 15 Taking a step back - how do we get slices? What are sli
  16. 16 Measuring model performance
  17. 17 Hidden Stratification: Approach
  18. 18 ML model development process, revisited
  19. 19 Another angle - how else can we evaluate?
  20. 20 "Closing the loop" - how do we update?

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