DiCE: Diverse Counterfactual Explanations for Machine Learning Classifiers

Established: August 1, 2018

Publications

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- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
  
  Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
  
  PDF Publication Project
- Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
  
  Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
  
  ACM Conference on Fairness, Accountability, and Transparency | January 2020
  
  PDF Github Project
- Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
  
  Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  CausalML: Machine Learning and Causal Inference for Improved Decision Making Workshop, NeurIPS 2019 | December 2019
  
  Publication

- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
  
  Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
  
  PDF Publication Project
- Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
  
  Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
  
  ACM Conference on Fairness, Accountability, and Transparency | January 2020
  
  PDF Github Project
- Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
  
  Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  CausalML: Machine Learning and Causal Inference for Improved Decision Making Workshop, NeurIPS 2019 | December 2019
  
  Publication

- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
  
  Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
  
  PDF Publication Project
- Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
  
  Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
  
  ACM Conference on Fairness, Accountability, and Transparency | January 2020
  
  PDF Github Project
- Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
  
  Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  CausalML: Machine Learning and Causal Inference for Improved Decision Making Workshop, NeurIPS 2019 | December 2019
  
  Publication

People

Amit Sharma

Principal Researcher

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