Algorithmic Transparency via Quantitative Input Influence - Theory and Experiments with Learning Systems

Algorithmic Transparency via Quantitative Input Influence - Theory and Experiments with Learning Systems

IEEE Symposium on Security and Privacy via YouTube Direct link

Introduction

1 of 9

1 of 9

Introduction

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Algorithmic Transparency via Quantitative Input Influence - Theory and Experiments with Learning Systems

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  1. 1 Introduction
  2. 2 Learning Systems
  3. 3 Algorithmic Transparency
  4. 4 Input Correlation
  5. 5 Quantitative Input Influence
  6. 6 Marginal Influence
  7. 7 Game Theory
  8. 8 Examples
  9. 9 Related Work

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