IMPROVING FAIRNESS IN CREDIT LENDING MODELS USING SUBGROUP THRESHOLD OPTIMIZATION
By Cecilia Ying, Stephen W. Thomas
Rating
1620
Battle Count: 75
Relevance
7/10
While focused on credit lending, the fairness optimization technique could be adapted for fair algorithmic trading strategies or risk assessment in quantitative finance
Implementation Complexity
5/10
The STO method is described as easy to understand and flexible to deploy, but requires careful threshold optimization for multiple subgroups
Reproducibility
4/5
The paper provides detailed methodology and experimental setup, but the exact implementation code is not provided
About this paper
Methodology: Subgroup Threshold Optimization (STO). Problem types: Classification, Fairness Optimization.
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