A new agent-based simulation generates synthetic loan data with controllable bias, and experiments show how different fairness fixes trade off accuracy against equality.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Simulating Biases for Interpretable Fairness in Offline and Online Classifiers
A new agent-based simulation generates synthetic loan data with controllable bias, and experiments show how different fairness fixes trade off accuracy against equality.