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Causal Interpretability for Machine Learning - Problems, Methods and Evaluation

Research article (ACM SIGKDD Explorations Newsletter, 2020) · cited 225× · AI/ML
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Causal Interpretability for Machine Learning - Problems, Methods and Evaluation

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Causal Interpretability for Machine Learning - Problems, Methods and Evaluation is a scholarly article[1].

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  • Causal Interpretability for Machine Learning - Problems, Methods and Evaluation's instance of is recorded as scholarly article[2].

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Huan Liu

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APA 4ort.xyz Knowledge Graph. (2026). Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. Retrieved May 24, 2026, from https://4ort.xyz/entity/causal-interpretability-for-machine-learning-problems-methods-and-evaluation
MLA “Causal Interpretability for Machine Learning - Problems, Methods and Evaluation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/causal-interpretability-for-machine-learning-problems-methods-and-evaluation.
BibTeX @misc{4ortxyz_causal-interpretability-for-machine-learning-problems-methods-and-evaluation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Causal Interpretability for Machine Learning - Problems, Methods and Evaluation}}, year = {2026}, url = {https://4ort.xyz/entity/causal-interpretability-for-machine-learning-problems-methods-and-evaluation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Causal Interpretability for Machine Learning - Problems, Methods and Evaluation — https://4ort.xyz/entity/causal-interpretability-for-machine-learning-problems-methods-and-evaluation (retrieved 2026-05-24)

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