Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations-Reference-Cited by-同舟云学术

Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Vo Vy¹^ORCID,Le Trung¹^ORCID,Nguyen Van¹^ORCID,Zhao He²^ORCID,Bonilla Edwin V.²^ORCID,Haffari Gholamreza¹^ORCID,Phung Dinh¹^ORCID

Affiliation:

1. Monash University, Melbourne, VIC, Australia

2. CSIRO's Data61, Sydney, NSW, Australia

Funder

Australian Research Council

US Airforce

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599343

Reference55 articles.

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3. Hiring by Algorithm

4. Leo Breiman , Jerome H Friedman , Richard A Olshen , and Charles J Stone . 2017. Classification and regression trees . Routledge . Leo Breiman, Jerome H Friedman, Richard A Olshen, and Charles J Stone. 2017. Classification and regression trees. Routledge.

5. Ngoc Bui , Duy Nguyen , and Viet Anh Nguyen . 2022. Counterfactual Plans under Distributional Ambiguity. arXiv preprint arXiv:2201.12487 ( 2022 ). Ngoc Bui, Duy Nguyen, and Viet Anh Nguyen. 2022. Counterfactual Plans under Distributional Ambiguity. arXiv preprint arXiv:2201.12487 (2022).

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