Awesome Shapley Value

The Survey Paper

This repository accompanies our survey paper The Shapley Value in Machine Learning.

If you find the survey or this repository useful in your research, please consider citing our paper:

@inproceedings{shapleysurvey,
    title     = {The Shapley Value in Machine Learning},
    author    = {Rozemberczki, Benedek and Watson, Lauren and Bayer, Péter and Yang, Hao-Tsung and Kiss, Olivér and Nilsson, Sebastian and Sarkar, Rik},
    booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
    publisher = {International Joint Conferences on Artificial Intelligence Organization},
    pages     = {5572--5579},
    year      = {2022},
}

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Contents

1. Game Theory Fundamentals
2. Approximations
3. Feature Selection
4. Explainability
5. Data Valuation
6. Ensemble Selection
7. Federated Learning
8. Reinforcement Learning
9. Miscellaneous

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License

• Apache 2.0