Ryan Franks

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 3

Top Topics

Benchmark Datasets

Machine Learning Models

Data Mining Methods

Top Venues

Publications

Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan
Wasserstein-based fairness interpretability framework for machine learning models. Mach. Learn. 111 (9) (2022)
Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics. CoRR (2021)
Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan
Wasserstein-based fairness interpretability framework for machine learning models. CoRR (2020)