33 citations · 49 across the 10 of their papers we have counts for
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cs.LG2022★ 7 cited
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model
Hangzhi Guo, Feiran Jia, Jinghui Chen +2
Counterfactual (CF) explanations for machine learning (ML) models are preferred by end-users, as they explain the predictions of ML models by providing a recourse (or contrastive)…
cs.LG2021★ 1 cited
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations
Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
This work presents CounterNet, a novel end-to-end learning framework which integrates Machine Learning (ML) model training and the generation of corresponding counterfactual (CF) e…