The phrase no longer refers only to bank loans. Thomas’s framework of quantifying default probability using historical patterns and behavioral data has been ported to astonishingly diverse domains.
Fairness without de-biasing: A rejection inference approach to equalized odds. Management Science (forthcoming). Why hot? Argues that standard bias mitigation (reweighting or removing features) is wasteful. Instead, use rejection inference to estimate true default rates for protected groups.
Many entertainment venues or VIP experiences are gated behind high-tier credit products.
The phrase no longer refers only to bank loans. Thomas’s framework of quantifying default probability using historical patterns and behavioral data has been ported to astonishingly diverse domains.
Fairness without de-biasing: A rejection inference approach to equalized odds. Management Science (forthcoming). Why hot? Argues that standard bias mitigation (reweighting or removing features) is wasteful. Instead, use rejection inference to estimate true default rates for protected groups. credit scoring and its applications by l c thomas hot
Many entertainment venues or VIP experiences are gated behind high-tier credit products. The phrase no longer refers only to bank loans
