Alexey Miroshnikov

According to our database, Alexey Miroshnikov authored at least 7 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Explainable post-training bias mitigation with distribution-based fairness metrics.

Ryan Franks, Alexey Miroshnikov

CoRR, April, 2025

2023

Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features.

Konstandinos Kotsiopoulos, Alexey Miroshnikov, Khashayar Filom, Arjun Ravi Kannan

CoRR, 2023

On marginal feature attributions of tree-based models.

Khashayar Filom, Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan

CoRR, 2023

2022

Wasserstein-based fairness interpretability framework for machine learning models.

Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan

Mach. Learn., 2022

2021

Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics.

Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan

CoRR, 2021

Mutual information-based group explainers with coalition structure for machine learning model explanations.

Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan

CoRR, 2021

2017

Weak* Solutions II: The Vacuum in Lagrangian Gas Dynamics.

Alexey Miroshnikov, Robin Young

SIAM J. Math. Anal., 2017