271 citations · 373 across the 12 of their papers we have counts for
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cs.LG2021★ 3 cited
Counterfactual Explanations for Machine Learning: Challenges Revisited
Sahil Verma, John Dickerson, Keegan Hines
Counterfactual explanations (CFEs) are an emerging technique under the umbrella of interpretability of machine learning (ML) models. They provide ``what if'' feedback of the form `…
cs.LG2021
Amortized Generation of Sequential Algorithmic Recourses for Black-box Models
Sahil Verma, Keegan Hines, John P. Dickerson
Explainable machine learning (ML) has gained traction in recent years due to the increasing adoption of ML-based systems in many sectors. Algorithmic Recourses (ARs) provide "what…