Improving fairness generalization through a sample-robust optimization method

Research article (Machine Learning, 2022) · cited 15× · AI/ML
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Improving fairness generalization through a sample-robust optimization method

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Improving fairness generalization through a sample-robust optimization method is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving fairness generalization through a sample-robust optimization method. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-fairness-generalization-through-a-sample-robust-optimization-method
MLA “Improving fairness generalization through a sample-robust optimization method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-fairness-generalization-through-a-sample-robust-optimization-method.
BibTeX @misc{4ortxyz_improving-fairness-generalization-through-a-sample-robust-optimization-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving fairness generalization through a sample-robust optimization method}}, year = {2026}, url = {https://4ort.xyz/entity/improving-fairness-generalization-through-a-sample-robust-optimization-method}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving fairness generalization through a sample-robust optimization method — https://4ort.xyz/entity/improving-fairness-generalization-through-a-sample-robust-optimization-method (retrieved 2026-05-24)

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