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This work aims to address an open problem in data valuation literature concerning the efficient computation of Data Shapley for weighted $K$ nearest neighbor algorithm (WKNN-Shapley).
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Sometimes the computation of the shapley value is simple
Dall’Aglio, M., Fragnelli, V., and Moretti, S. (2019) · 2019
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Data shapley: Equitable valuation of data for machine learning
Ghorbani, A. and Zou, J. (2019) · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Kenton, J. D. M.-W. C. and Toutanova, L. K. (2019) · 2019
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Warner, M. (2019) · 2019
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Ghorbani, A., Kim, M., and Zou, J. (2020) · 2020
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If you like shapley then you’ll love the core
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Ghorbani, A., Zou, J., and Esteva, A. (2022) · 2022
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Data debugging with shapley importance over end-to-end machine learning pipelines
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Beta shapley: a unified and noise-reduced data valuation framework for machine learning
Kwon, Y. and Zou, J. (2022) · 2022
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