Beta Shapley: A Unified and Noise-Reduced Data Valuation Framework for Machine Learning

2021 article kwon2021betashapley ○ Not yet verified

Authors

Kwon, Yongchan and Zou, James

Venue

arXiv preprint arXiv:2110.14049

BibTeX

Local Entry

@article{kwon2021betashapley,
  title = {Beta Shapley: A Unified and Noise-Reduced Data Valuation Framework for Machine Learning},
  author = {Kwon, Yongchan and Zou, James},
  year = {2021},
  journal = {arXiv preprint arXiv:2110.14049},
  url = {https://arxiv.org/abs/2110.14049}
}

From OPENALEX

@article{kwon2021betashapley,
  title = {Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning},
  author = {Yongchan Kwon and James Zou},
  year = {2021},
  journal = {arXiv (Cornell University)},
  doi = {10.48550/arxiv.2110.14049}
}