Third Meeting
Presenter
References
- Ghorbani, Amirata, and James Zou. “Data Shapley: Equitable Valuation of Data for Machine Learning.” In Proceedings of the 36th International Conference on Machine Learning (ICML), 2019.
- Jia, Ruoxi, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, and Costas J. Spanos. “Towards Efficient Data Valuation Based on the Shapley Value.” In Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.
- Jia, Ruoxi, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gurel, Bo Li, Ce Zhang, Costas Spanos, and Dawn Song. “Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.” In Proceedings of the VLDB Endowment International Conference on Very Large Data Bases (VLDB), 2019.
- Wang, Jiachen T., and Ruoxi Jia. “Data Banzhaf: A Robust Data Valuation Framework for Machine Learning.” International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.