Piotr Skalski

According to our database, Piotr Skalski authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges.

Parameswaran Kamalaruban, Yulu Pi, Stuart Burrell, Eleanor Drage, Piotr Skalski, Jason Wong, David Sutton

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems.

Iker Perez, Jason Wong, Piotr Skalski, Stuart Burrell, Richard Mortier, Derek McAuley, David Sutton

Proceedings of the IEEE International Conference on Data Mining, 2023

Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences.

Piotr Skalski, David Sutton, Stuart Burrell, Iker Perez, Jason Wong

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

Attribution of predictive uncertainties in classification models.

Iker Perez, Piotr Skalski, Alec Barns-Graham, Jason Wong, David Sutton

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Path Integrals for the Attribution of Model Uncertainties.

Iker Perez, Piotr Skalski, Alec Barns-Graham, Jason Wong, David Sutton

CoRR, 2021