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The source codes for paper 'Group AdaBoost with Fairness Constraint' accepted by SDM 23

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Group AdaBoost with Fairness Constraint

The source codes for paper 'Group AdaBoost with Fairness Constraint' accepted by SDM 23

Paper

Appendix

Architecture

FIG

Setup

pip install fairlearn 
pip install torch

cd real_world_data/DataPreprocessing
unzip kdd.zip

Running

synthetic data

cd synthetic_data
vis_boosting.ipynb

real-world data

cd real_world_data
# For every bash file, please change <your-file-path> to the log path you prefer

# Run Baselines via Vallina Evaluating Benchmarks
sh run_baseline.sh
# Run Baselines via Converted Evaluating Benchmarks 
sh run_baseline_dif_imbalance.sh

# Run Our Method and Adaboost via Vallina Evaluating Benchmarks 
sh run_group_adaboost.sh
# Run Our Method and Adaboost via Converted Evaluating Benchmarks
sh run_group_adaboost_dif_imbalance.sh

Reference

The experiments are based on the code of AdaFair

Please contact xzy990228@gmail.com if you have any problem.

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The source codes for paper 'Group AdaBoost with Fairness Constraint' accepted by SDM 23

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