https://github.com/tencent-ailab/valuationgame

https://github.com/tencent-ailab/valuationgame

Last synced: 2 days ago
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• Host: GitHub
• URL: https://github.com/tencent-ailab/valuationgame
• Owner: tencent-ailab
• License: mit
• Created: 2022-05-09T02:52:57.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-05-14T05:46:28.000Z (over 2 years ago)
• Last Synced: 2023-03-05T16:37:55.425Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 26.1 MB
• Stars: 8
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Energy-Based Learning for Cooperative Games, with  Applications to Valuation Problems in Machine Learning

This repository contains code for the paper:  "Energy-Based Learning for Cooperative Games, with Applications to

Valuation Problems in Machine Learning".

## Run the experiments

### Synthetic experiments with FLID games

Run the file   ``synthetic/main_syn.ipynb`` directly.

### Data valuation

Run the following bash file:

```bash 

data_valuation/run_data_val.sh

```    

### Feature valuation

Run the ipython notebook ``feature_valuation/feature_val_example.ipynb``.

## Main depencencies (has been tested on Linux)

- python>=3.5

- shap==0.39.0

- tensorflow>2.0

- scikit-learn==0.24

- xgboost

- numba==0.53.1

- tqdm

- matplotlib

## Reference

:smile:If you find this repo is useful, please consider to cite our paper:

```

@inproceedings{

bian2022energybased,

title={Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning},

author={Yatao Bian and Yu Rong and Tingyang Xu and Jiaxiang Wu and Andreas Krause and Junzhou Huang},

booktitle={International Conference on Learning Representations},

year={2022},

url={https://openreview.net/forum?id=xLfAgCroImw}

}

```  

## Disclaimer

This is not an officially supported Tencent product.