6 citations · 32 across the 37 of their papers we have counts for
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cs.LG2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods
Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis +2
Deep Neural Networks and Reinforcement Learning methods have empirically shown great promise in tackling challenging combinatorial problems. In those methods a deep neural network…
cs.LG2023★ 3 cited
Fairness Aware Counterfactuals for Subgroups
Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos +6
In this work, we present Fairness Aware Counterfactuals for Subgroups (FACTS), a framework for auditing subgroup fairness through counterfactual explanations. We start with revisit…