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03/23/2023
Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective
As neural networks increasingly make critical decisions in high-stakes s...
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03/14/2022
Achieving Downstream Fairness with Geometric Repair
Consider a scenario where some upstream model developer must train a fai...
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06/14/2021
Counterfactual Explanations for Machine Learning: Challenges Revisited
Counterfactual explanations (CFEs) are an emerging technique under the u...
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06/07/2021
Amortized Generation of Sequential Counterfactual Explanations for Black-box Models
Explainable machine learning (ML) has gained traction in recent years du...
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10/20/2020
Counterfactual Explanations for Machine Learning: A Review
Machine learning plays a role in many deployed decision systems, often i...
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08/15/2019
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
There has been considerable growth and interest in industrial applicatio...
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08/15/2018
