3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 3 cited
Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
Robert-Florian Samoilescu, Arnaud Van Looveren, Janis Klaise
Counterfactual instances are a powerful tool to obtain valuable insights into automated decision processes, describing the necessary minimal changes in the input space to alter the…
cs.LG2019
Preservation of Anomalous Subgroups On Machine Learning Transformed Data
Samuel C. Maina, Reginald E. Bryant, William O. Goal +3
In this paper, we investigate the effect of machine learning based anonymization on anomalous subgroup preservation. In particular, we train a binary classifier to discover the mos…