https://github.com/astrazeneca/awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
https://github.com/astrazeneca/awesome-shapley-value

List: awesome-shapley-value

artificial-intelligence data-science deep-learning explainability explainable explainable-ai explainable-artificial-intelligence explainable-ml lime machine-learning owen-value shap shapley shapley-additive-explanations shapley-decomposition shapley-q-value shapley-value xai

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Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

• Host: GitHub
• URL: https://github.com/astrazeneca/awesome-shapley-value
• Owner: AstraZeneca
• License: apache-2.0
• Created: 2022-04-29T13:50:41.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2022-08-08T08:53:10.000Z (over 3 years ago)
• Last Synced: 2024-05-22T15:05:31.472Z (over 1 year ago)
• Topics: artificial-intelligence, data-science, deep-learning, explainability, explainable, explainable-ai, explainable-artificial-intelligence, explainable-ml, lime, machine-learning, owen-value, shap, shapley, shapley-additive-explanations, shapley-decomposition, shapley-q-value, shapley-value, xai
• Homepage:
• Size: 622 KB
• Stars: 134
• Watchers: 2
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          

# Awesome Shapley Value

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)

![Maturity level-0](https://img.shields.io/badge/Maturity%20Level-ML--0-red)



  



## The Survey Paper

This repository accompanies our survey paper [The Shapley Value in Machine Learning](https://arxiv.org/abs/2202.05594).

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

```bibtex

@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](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/chapters/fundamentals.md)

2. [Approximations](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/chapters/approximations.md)

3. [Feature Selection](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/chapters/feature_selection.md)

4. [Explainability](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/chapters/explainability.md)

5. [Data Valuation](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/chapters/data_valuation.md)

6. [Ensemble Selection](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/chapters/ensemble_selection.md)

7. [Federated Learning](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/chapters/federated_learning.md)

8. [Reinforcement Learning](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/chapters/multi_agent_reinforcement_learning.md)

9. [Miscellaneous](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/chapters/miscellaneous.md)

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**License**

- [Apache 2.0](https://github.com/AstraZeneca/awesome-shapley-value/blob/master/LICENSE)