On Validating, Repairing and Refining Heuristic ML Explanations

Cited by: 8|Bibtex|Views22
Other Links: arxiv.org

Abstract:

Recent years have witnessed a fast-growing interest in computing explanations for Machine Learning (ML) models predictions. For non-interpretable ML models, the most commonly used approaches for computing explanations are heuristic in nature. In contrast, recent work proposed rigorous approaches for computing explanations, which hold fo...More

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