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  • 14 Aug 2017
  • Conference Presentation

Interpretable and Explorable Approximations of Black Box Models

By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
  • Format:Print
  • | Language:English
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Citation

Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Interpretable and Explorable Approximations of Black Box Models." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), Halifax, NS, Canada, August 14, 2017.
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About The Author

Himabindu Lakkaraju

Technology and Operations Management
→More Publications

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More from the Authors
  • On the Impact of Actionable Explanations on Social Segregation By: Ruijiang Gao and Himabindu Lakkaraju
  • On Minimizing the Impact of Dataset Shifts on Actionable Explanations By: Anna Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
  • Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
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