5 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges
Parameswaran Kamalaruban, Yulu Pi, Stuart Burrell +4
Ensuring fairness in transaction fraud detection models is vital due to the potential harms and legal implications of biased decision-making. Despite extensive research on algorith…
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences
Piotr Skalski, David Sutton, Stuart Burrell +2
Machine learning models underpin many modern financial systems for use cases such as fraud detection and churn prediction. Most are based on supervised learning with hand-engineere…
Attribution of Predictive Uncertainties in Classification Models
Iker Perez, Piotr Skalski, Alec Barns-Graham +2
Predictive uncertainties in classification tasks are often a consequence of model inadequacy or insufficient training data. In popular applications, such as image processing, we ar…