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Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach (CIKM'23)

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Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach

Official Pytorch implementation of the paper "Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach"

Requirements

pip install -r requirements.txt

Training

1) unbiasead + biased

python main_train.py

2) unbiased

python main_train.py data.path_dict.biased_users=""

3) unbiasead + selected biased (UserAIF)

python main_train.py user_aif=True

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Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach (CIKM'23)

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