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03/17/2023
Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features
In recent years, many Machine Learning (ML) explanation techniques have ...
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02/16/2023
On marginal feature attributions of tree-based models
Due to their power and ease of use, tree-based machine learning models h...
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11/19/2021
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics
This article is a companion paper to our earlier work Miroshnikov et al....
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02/22/2021
Mutual information-based group explainers with coalition structure for machine learning model explanations
In this article, we propose and investigate ML group explainers in a gen...
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11/06/2020
Wasserstein-based fairness interpretability framework for machine learning models
In this article, we introduce a fairness interpretability framework for ...
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10/25/2017
