Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis

Summary: Demonstrates Lewis, a system for global, contextual, and local explanations of black-box models from input–output data. Explanations rely on probabilistic contrastive counterfactuals, with actionable recourse, open-source code, and specification. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12472
Venue: VLDB
Year: 2021
Pagerank: -
Overall Rank: 13,260 | 7.76%
DOI: 10.14778/3476311.3476345

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Rank	Cited Paper	Year	Venue	Pagerank
2,923	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals	2021	SIGMOD	7.8953538e-05

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